Simpliv LLC

Course details

ABOUT THIS COURSE Prerequisites: Working with HBase requires knowledge of Java Record and run settings a team which includes 2 Stanford-educated, ex-Googlers and 2 ex-Flipkart Lead Analysts. This team has decades of practical experience in working with large-scale data processing jobs. Relational Databases are so stuffy and old! Welcome to HBase - a database solution for a new age.

What's Covered: 25 solved examples covering all aspects of working with data in HBase CRUD operations in the shell and with the Java API, Filters, Counters, MapReduce Implement your own notification service for a social network using HBase HBase and it’s role in the Hadoop ecosystem, HBase architecture and what makes HBase different from RDBMS and other Hadoop technologies like Hive.

WHAT YOU WILL LEARN Set up a database for your application using HBase Integrate HBase with MapReduce for data processing tasks Create tables, insert, read and delete data from HBase Get an all-round understanding of HBase and it's role in the Hadoop ecosystem.

Course details

A Note on the Python versions 2 and 3: The code-alongs in this class all use Python 2.7. Source code (with copious amounts of comments) is attached as a resource with all the code-alongs. The source code has been provided for both Python 2 and Python 3 wherever possible.

What's Covered:

• Introductory Python: Functional language constructs; Python syntax; Lists, dictionaries, functions and function objects; Lambda functions; iterators, exceptions and file-handling
• Database operations: Just as much database knowledge as you need to do data manipulation in Python
• Auto-generating spreadsheets: Kill the drudgery of reporting tasks with xlsxwriter; automated reports that combine database operations with spreadsheet auto-generation
• Text processing and NLP: Python’s powerful tools for text processing - nltk and others.
• Website scraping using Beautiful Soup: Scrapers for the New York Times and Washington Post
• Machine Learning: Use sk-learn to apply machine learning techniques like KMeans clustering
• Hundreds of lines of code with hundreds of lines of comments
• Drill #1: Download a zip file from the National Stock Exchange of India; unzip and process to find the 3 most actively traded securities for the day
• Drill #2: Store stock-exchange time-series data for 3 years in a database. On-demand, generate a report with a time-series for a given stock ticker
• Drill #3: Scrape a news article URL and auto-summarize into 3 sentences
• Drill #4: Scrape newspapers and a blog and apply several machine learning techniques - classification and clustering to these

Using discussion forums

Please use the discussion forums on this course to engage with other students and to help each other out. Unfortunately, much as we would like to, it is not possible for us at Loonycorn to respond to individual questions from students:-(

We're super small and self-funded with only 2 people developing technical video content. Our mission is to make high-quality courses available at super low prices.

The only way to keep our prices this low is to *NOT offer additional technical support over email or in-person*. The truth is, direct support is hugely expensive and just does not scale.

We understand that this is not ideal and that a lot of students might benefit from this additional support. Hiring resources for additional support would make our offering much more expensive, thus defeating our original purpose.

It is a hard trade-off.

Thank you for your patience and understanding!

Who is the target audience?

• Yep! Folks with zero programming experience looking to learn a new skill
• Machine Learning and Language Processing folks looking to apply concepts in a full-fledged programming language
• Yep! Computer Science students or software engineers with no experience in Java, but experience in Python, C++ or even C#. You might need to skip over some bits, but in general, the class will still have new learning to offer you

BASIC KNOWLEDGE

• No prior programming experience is needed :-)
• The course will use a Python IDE (integrated development environment) called iPython from Anaconda. We will go through a step-by-step procedure for downloading and installing this IDE.

WHAT YOU WILL LEARN

• Pick up programming even if you have NO programming experience at all
• Write Python programs of moderate complexity
• Perform complicated text processing - splitting articles into sentences and words and doing things with them
• Work with files, including creating Excel spreadsheets and working with zip files
• Apply simple machine learning and natural language processing concepts such as classification, clustering and summarization
• Understand Object-Oriented Programming in a Python context

Course details

Taught by a 4 person team including 2 Stanford-educated, ex-Googlers and 2 ex-Flipkart Lead Analysts. This team has decades of practical experience in working with Java and with billions of rows of data. 

Get your data to fly using Spark for analytics, machine learning and data science 

Let’s parse that.

What's Spark? If you are an analyst or a data scientist, you're used to having multiple systems for working with data. SQL, Python, R, Java, etc. With Spark, you have a single engine where you can explore and play with large amounts of data, run machine learning algorithms and then use the same system to productionize your code.

Analytics: Using Spark and Python you can analyze and explore your data in an interactive environment with fast feedback. The course will show how to leverage the power of RDDs and Dataframes to manipulate data with ease. 

Machine Learning and Data Science : Spark's core functionality and built-in libraries make it easy to implement complex algorithms like Recommendations with very few lines of code. We'll cover a variety of datasets and algorithms including PageRank, MapReduce and Graph datasets. 

What's Covered:

Lot's of cool stuff ..

• Music Recommendations using Alternating Least Squares and the Audioscrobbler dataset
• Dataframes and Spark SQL to work with Twitter data
• Using the PageRank algorithm with Google web graph dataset
• Using Spark Streaming for stream processing 
• Working with graph data using the  Marvel Social network dataset 

.. and of course all the Spark basic and advanced features: 

• Resilient Distributed Datasets, Transformations (map, filter, flatMap), Actions (reduce, aggregate) 
• Pair RDDs , reduceByKey, combineByKey 
• Broadcast and Accumulator variables 
• Spark for MapReduce 
• The Java API for Spark 
• Spark SQL, Spark Streaming, MLlib and GraphFrames (GraphX for Python) 

Using discussion forums

Please use the discussion forums on this course to engage with other students and to help each other out. Unfortunately, much as we would like to, it is not possible for us at Loonycorn to respond to individual questions from students:-(

We're super small and self-funded with only 2 people developing technical video content. Our mission is to make high-quality courses available at super low prices.

The only way to keep our prices this low is to *NOT offer additional technical support over email or in-person*. The truth is, direct support is hugely expensive and just does not scale.

We understand that this is not ideal and that a lot of students might benefit from this additional support. Hiring resources for additional support would make our offering much more expensive, thus defeating our original purpose.

It is a hard trade-off.

Thank you for your patience and understanding!

Who is the target audience?

• Yep! Analysts who want to leverage Spark for analyzing interesting datasets
• Yep! Data Scientists who want a single engine for analyzing and modelling data as well as productionizing it.
• Yep! Engineers who want to use a distributed computing engine for batch or stream processing or both

BASIC KNOWLEDGE

• The course assumes knowledge of Python. You can write Python code directly in the PySpark shell. If you already have IPython Notebook installed, we'll show you how to configure it for Spark
• For the Java section, we assume basic knowledge of Java. An IDE which supports Maven, like IntelliJ IDEA/Eclipse would be helpful
• All examples work with or without Hadoop. If you would like to use Spark with Hadoop, you'll need to have Hadoop installed (either in pseudo-distributed or cluster mode).

WHAT YOU WILL LEARN

• Use Spark for a variety of analytics and Machine Learning tasks
• Implement complex algorithms like PageRank or Music Recommendations
• Work with a variety of datasets from Airline delays to Twitter, Web graphs, Social networks and Product Ratings
• Use all the different features and libraries of Spark : RDDs, Dataframes, Spark SQL, MLlib, Spark Streaming and GraphX

Course details

Prerequisites: No prerequisites, knowledge of some undergraduate level mathematics would help but is not mandatory. Working knowledge of Python would be helpful if you want to run the source code that is provided.

Taught by a Stanford-educated, ex-Googler and an IIT, IIM - educated ex-Flipkart lead analyst. This team has decades of practical experience in quant trading, analytics and e-commerce. 

This course is a down-to-earth, shy but confident take on machine learning techniques that you can put to work today

Let’s parse that.

The course is down-to-earth : it makes everything as simple as possible - but not simpler

The course is shy but confident : It is authoritative, drawn from decades of practical experience -but shies away from needlessly complicating stuff.

You can put ML to work today : If Machine Learning is a car, this car will have you driving today. It won't tell you what the carburetor is.

The course is very visual : most of the techniques are explained with the help of animations to help you understand better.

This course is practical as well : There are hundreds of lines of source code with comments that can be used directly to implement natural language processing and machine learning for text summarization, text classification in Python.

The course is also quirky. The examples are irreverent. Lots of little touches: repetition, zooming out so we remember the big picture, active learning with plenty of quizzes. There’s also a peppy soundtrack, and art - all shown by studies to improve cognition and recall.

What's Covered:

Machine Learning: 

Supervised/Unsupervised learning, Classification, Clustering, Association Detection, Anomaly Detection, Dimensionality Reduction, Regression.

Naive Bayes, K-nearest neighbours, Support Vector Machines, Artificial Neural Networks, K-means, Hierarchical clustering, Principal Components Analysis, Linear regression, Logistics regression, Random variables, Bayes theorem, Bias-variance tradeoff

Natural Language Processing with Python: 

Corpora, stopwords, sentence and word parsing, auto-summarization, sentiment analysis (as a special case of classification), TF-IDF, Document Distance, Text summarization, Text classification with Naive Bayes and K-Nearest Neighbours and Clustering with K-Means

Sentiment Analysis: 

Why it's useful, Approaches to solving - Rule-Based, ML-Based, Training, Feature Extraction, Sentiment Lexicons, Regular Expressions, Twitter API, Sentiment Analysis of Tweets with Python

Mitigating Overfitting with Ensemble Learning:

Decision trees and decision tree learning, Overfitting in decision trees, Techniques to mitigate overfitting (cross-validation, regularization), Ensemble learning and Random forests

Recommendations: Content based filtering, Collaborative filtering and Association Rules learning

Get started with Deep learning: Apply Multi-layer perceptrons to the MNIST Digit recognition problem

A Note on Python: The code-alongs in this class all use Python 2.7. Source code (with copious amounts of comments) is attached as a resource with all the code-alongs. The source code has been provided for both Python 2 and Python 3 wherever possible.

Who is the target audience?

• Yep! Analytics professionals, modelers, big data professionals who haven't had exposure to machine learning
• Yep! Engineers who want to understand or learn machine learning and apply it to problems they are solving
• Yep! Product managers who want to have intelligent conversations with data scientists and engineers about machine learning
• Yep! Tech executives and investors who are interested in big data, machine learning or natural language processing
• Yep! MBA graduates or business professionals who are looking to move to a heavily quantitative role

BASIC KNOWLEDGE

• No prerequisites, knowledge of some undergraduate level mathematics would help but is not mandatory. Working knowledge of Python would be helpful if you want to run the source code that is provided.

WHAT YOU WILL LEARN

• Identify situations that call for the use of Machine Learning
• Understand which type of Machine learning problem you are solving and choose the appropriate solution
• Use Machine Learning and Natural Language processing to solve problems like text classification, text summarization in Python

Course details

Image Processing Applications on Raspberry Pi is a beginner course on the newly launched Raspberry Pi 3 and is fully compatible with Raspberry Pi 2 and Raspberry Pi Zero.

The course is ideal for those who are new to the Raspberry Pi and want to explore more about it.

You will learn the components of Raspberry Pi, connecting components to Raspberry Pi, installation of NOOBS operating system, basic Linux commands, Python programming and building Image Processing applications on Raspberry Pi.

This course will take beginners without any coding skills to a level where they can write their own programs.

Basics of Python programming language are well covered in the course.

Building Image Processing applications are taught in the simplest manner which is easy to understand.

Users can quickly learn hardware assembly and coding in Python programming for building Image Processing applications. By the end of this course, users will have enough knowledge about Raspberry Pi, its components, basic Python programming, and execution of Image Processing applications in the real time scenario.

The course is taught by an expert team of Electronics and Computer Science engineers, having PhD and Postdoctoral research experience in Image Processing. 

Anyone can take this course. No engineering knowledge is expected. Tutor has explained all required engineering concepts in the simplest manner.

The course will enable you to independently build Image Processing applications using Raspberry Pi.

This course is the easiest way to learn and become familiar with the Raspberry Pi platform.

By the end of this course, users will build Image Processing applications which includes scaling and flipping images, varying brightness of images, perform bit-wise operations on images, blurring and sharpening images, thresholding, erosion and dilation, edge detection, image segmentation. User will also be able to build real-world Image Processing applications which includes real-time human face eyes nose detection, detecting cars in video, real-time object detection, human face recognition and many more. 

The course provides complete code for all Image Processing applications which are compatible on Raspberry Pi 3/2/Zero.

Who is the target audience?

• Anyone who wants to explore Raspberry Pi and interested in building Image Processing applications

BASIC KNOWLEDGE

• Only High School Maths
• No prior programming knowledge is expected
• All the code files and images used in this course will be provided
• Hardware needed: Raspberry Pi 3/2/Zero, Monitor, Mouse, Keyboard, HDMI-VGA connector, USB flash drive (minimum storage capacity 2 GB), Micro SD card (minimum storage capacity 8 GB), Micro SD card reader, Power adapter (2 Amp, Micro-USB charger is preferred), USB Webcam (minimum 5 Megapixel resolution)

WHAT YOU WILL LEARN

• What is Raspberry Pi? and what are its components?
• Understand peripherals that need to be connected to Raspberry Pi
• Wire up your Raspberry Pi to create a fully functional computer
• Easily learn preparing SD Card to load Operating System for Raspberry Pi
• Install packages needed to build Image Processing applications
• Learn basic programming aspects of Python
• Create simple Image Processing applications using Python and OpenCV
• Build real-world Image Processing applications on Raspberry Pi

Course details

Few programming languages provide you with the flexibility and pure power of Python.

If you're becoming a professional developer, or are early in your development career, adding the Python skill set isn't just a resume embellishment-- It's an empowering language that will allow you to write procedural code in many types of environments and for many uses.

Python is commonly used for server side programming for complex web applications or as a middle tier language providing web services or a communication layer with larger ecommerce systems. That being said, it's also a great language for beginners. The clear syntax makes it very easy to learn, and the powerful libraries make all types of programming possible. There are libraries for everything from games and graphics to complex mathematics to network and embedded programming.

Watch, Learn and Do

Programming is not a spectator sport and if you want to learn Python well, this course contains everything you need.

Skill oriented instructor-led lectures will demonstrate each important Python skill. You'll be able to study and modify the code on your own to cement each topic. Python code coding lab exercises will familiarize you not just with Python syntax, but how real problem-solving in Python is done. You'll complete a more comprehensive project to help you integrate the different skills that are part of core Python.

Who is the target audience?

• First time Python programmers
• Students and Teachers
• IT pros who want to learn to code
• Aspiring data scientists who want to add Python to their tool arsenal

BASIC KNOWLEDGE

• Students should be comfortable working in the PC or Mac operating system

WHAT YOU WILL LEARN

• How to use the Python Shell
• How to use interactive mode in Python
• How to develop and run programs in the IDLE editor
• How to run Python scripts directly from the command line
• How to use the print() function
• How to use separators and new line characters to modify command line output
• Assign variables of different types
• Understand integer, floating point, complex and string variables
• Be able to extract substrings
• Easily concatenate strings
• Create Lists and Tuples
• Create key value pairs and store them in dictionaries
• Understand mathematical operators used in Python
• Apply the order of operations to mathematical operations
• Utilize comparison operators to determine logical outcomes
• Use logical operators to join comparisons
• Write conditional statements to correctly branch code
• Use If, else and else if statements to apply branching
• Understand how and when to used nested if statements
• Use the shortcut Ternary operator
• Be able to use looping structures effectively
• Create While loops
• Be able to use For loops to loop through an objects properties
• Be able to construct nested loops and understand their utility.
• Cast variables from one type to another using built-in Python functions
• Use the Mathematical functions within Python to evaluate expressions
• Randomize numbers and selections with the Randomization tools
• Use Python String functions such as find(), join() and split()
• Create immutable tuples
• Access values within tuples
• Use tuple functions to manipulate tuple data
• Declare a dictionary and populate it with key/value pairs
• Access and edit values within dictionaries
• Extract date and time information from the time tuple
• Use the calendar object to work with calendar related information
• Create custom functions
• Send arguments to functions using order or keyword
• Create default function arguments
• Read and obtain keyboard input
• Read from a text file and process the data in Python
• Write to a text file from Python
• Append to a text file
• Handle exceptions with try/except/else in Python
• Use Python within the cgi-bin or a web server
• Process form data from Python

Course details

Prerequisites: Working with HBase requires knowledge of Java

Record and run settings a team which includes 2 Stanford-educated, ex-Googlers and 2 ex-Flipkart Lead Analysts. This team has decades of practical experience in working with large-scale data processing jobs. 

Relational Databases are so stuffy and old! Welcome to HBase - a database solution for a new age. 

HBase: Do you feel like your relational database is not giving you the flexibility you need anymore? Column-oriented storage, no fixed schema and low latency make HBase a great choice for the dynamically changing needs of your applications. 

What's Covered: 

25 solved examples covering all aspects of working with data in HBase

CRUD operations in the shell and with the Java API, Filters, Counters, MapReduce 

Implement your own notification service for a social network using HBase

HBase and it’s role in the Hadoop ecosystem, HBase architecture and what makes HBase different from RDBMS and other Hadoop technologies like Hive. 

Using discussion forums

Please use the discussion forums on this course to engage with other students and to help each other out. Unfortunately, much as we would like to, it is not possible for us at Loonycorn to respond to individual questions from students.

We're super small and self-funded with only 2 people developing technical video content. Our mission is to make high-quality courses available at super low prices.

The only way to keep our prices this low is to *NOT offer additional technical support over email or in-person*. The truth is, direct support is hugely expensive and just does not scale.

We understand that this is not ideal and that a lot of students might benefit from this additional support. Hiring resources for additional support would make our offering much more expensive, thus defeating our original purpose.

It is a hard trade-off.

Thank you for your patience and understanding!

Who is the target audience?

• Yep! Anyone who is interested in understanding HBase, NoSQL and distributed database management
• Yep! Engineers who want to move away from RDBMS and use HBase for their database solution
• Yep! Folks who are using Hadoop ecosystem tools for analytical processing and want a single system for both OLAP and OLTP

BASIC KNOWLEDGE

• You'll need to have an IDE where you can run Java code, IntelliJ IDEA and Eclipse are both good options
• You'll need to have some experience with Java programming

WHAT YOU WILL LEARN

• Set up a database for your application using HBase
• Integrate HBase with MapReduce for data processing tasks
• Create tables, insert, read and delete data from HBase
• Get an all-round understanding of HBase and it's role in the Hadoop ecosystem

Course details

Taught by a 4 person team including 2 Stanford-educated, ex-Googlers and 2 ex-Flipkart Lead Analysts. This team has decades of practical experience in working with Java and with billions of rows of data. 

This course is a zoom-in, zoom-out, hands-on workout involving Hadoop, MapReduce and the art of thinking parallel. 

Let’s parse that.

Zoom-in, Zoom-Out:  This course is both broad and deep. It covers the individual components of Hadoop in great detail, and also gives you a higher level picture of how they interact with each other. 

Hands-on workout involving Hadoop, MapReduce : This course will get you hands-on with Hadoop very early on.  You'll learn how to set up your own cluster using both VMs and the Cloud. All the major features of MapReduce are covered - including advanced topics like Total Sort and Secondary Sort. 

The art of thinking parallel: MapReduce completely changed the way people thought about processing Big Data. Breaking down any problem into parallelizable units is an art. The examples in this course will train you to "think parallel". 

What's Covered: Lot's of cool stuff ..

Using MapReduce to:

• Recommend friends in a Social Networking site: Generate Top 10 friend recommendations using a Collaborative filtering algorithm. 
• Build an Inverted Index for Search Engines: Use MapReduce to parallelize the humongous task of building an inverted index for a search engine. 
• Generate Bigrams from text: Generate bigrams and compute their frequency distribution in a corpus of text. 

Build your Hadoop cluster: 

• Install Hadoop in Standalone, Pseudo-Distributed and Fully Distributed modes 
• Set up a hadoop cluster using Linux VMs.
• Set up a cloud Hadoop cluster on AWS with Cloudera Manager.
• Understand HDFS, MapReduce and YARN and their interaction 

Customize your MapReduce Jobs: 

• Chain multiple MR jobs together
• Write your own Customized Partitioner
• Total Sort : Globally sort a large amount of data by sampling input files
• Secondary sorting 
• Unit tests with MR Unit
• Integrate with Python using the Hadoop Streaming API

.. and of course all the basics: 

• MapReduce : Mapper, Reducer, Sort/Merge, Partitioning, Shuffle and Sort
• HDFS & YARN: Namenode, Datanode, Resource manager, Node manager, the anatomy of a MapReduce application, YARN Scheduling, Configuring HDFS and YARN to performance tune your cluster. 

Using discussion forums

Please use the discussion forums on this course to engage with other students and to help each other out. Unfortunately, much as we would like to, it is not possible for us at Loonycorn to respond to individual questions from students:-(

We're super small and self-funded with only 2 people developing technical video content. Our mission is to make high-quality courses available at super low prices.

The only way to keep our prices this low is to *NOT offer additional technical support over email or in-person*. The truth is, direct support is hugely expensive and just does not scale.

We understand that this is not ideal and that a lot of students might benefit from this additional support. Hiring resources for additional support would make our offering much more expensive, thus defeating our original purpose.

It is a hard trade-off.

Thank you for your patience and understanding!

Who is the target audience?

• Yep! Analysts who want to leverage the power of HDFS where traditional databases don't cut it anymore
• Yep! Engineers who want to develop complex distributed computing applications to process lot's of data
• Yep! Data Scientists who want to add MapReduce to their bag of tricks for processing data

BASIC KNOWLEDGE

• You'll need an IDE where you can write Java code or open the source code that's shared. IntelliJ and Eclipse are both great options.
• You'll need some background in Object-Oriented Programming, preferably in Java. All the source code is in Java and we dive right in without going into Objects, Classes etc
• A bit of exposure to Linux/Unix shells would be helpful, but it won't be a blocker

WHAT YOU WILL LEARN

• Develop advanced MapReduce applications to process BigData
• Master the art of "thinking parallel" - how to break up a task into Map/Reduce transformations
• Self-sufficiently set up their own mini-Hadoop cluster whether it's a single node, a physical cluster or in the cloud.
• Use Hadoop + MapReduce to solve a wide variety of problems : from NLP to Inverted Indices to Recommendations
• Understand HDFS, MapReduce and YARN and how they interact with each other
• Understand the basics of performance tuning and managing your own cluster

Course details

This course is a really comprehensive guide to the Google Cloud Platform - it has ~25 hours of content and ~60 demos.

The Google Cloud Platform is not currently the most popular cloud offering out there - that's AWS of course - but it is possibly the best cloud offering for high-end machine learning applications. That's because TensorFlow, the super-popular deep learning technology is also from Google.

What's Included:

• Compute and Storage - AppEngine, Container Enginer (aka Kubernetes) and Compute Engine
• Big Data and Managed Hadoop - Dataproc, Dataflow, BigTable, BigQuery, Pub/Sub 
• TensorFlow on the Cloud - what neural networks and deep learning really are, how neurons work and how neural networks are trained.
• DevOps stuff - StackDriver logging, monitoring, cloud deployment manager
• Security - Identity and Access Management, Identity-Aware proxying, OAuth, API Keys, service accounts
• Networking - Virtual Private Clouds, shared VPCs, Load balancing at the network, transport and HTTP layer; VPN, Cloud Interconnect and CDN Interconnect
• Hadoop Foundations: A quick look at the open-source cousins (Hadoop, Spark, Pig, Hive and HBase)

Who is the target audience?

• Yep! Anyone looking to use the Google Cloud Platform in their organizations
• Yep! Anyone who is interesting in architecting computes, networking, loading balancing and other solutions using the GCP
• Yep! Anyone who wants to deploy serverless analytics and big data solutions on the Google Cloud
• Yep! Anyone looking to build TensorFlow models and deploy them on the cloud

BASIC KNOWLEDGE

• Basic understanding of technology - superficial exposure to Hadoop is enough.

WHAT YOU WILL LEARN

• Deploy Managed Hadoop apps on the Google Cloud
• Build deep learning models on the cloud using TensorFlow
• Make informed decisions about Containers, VMs and AppEngine
• Use big data technologies such as BigTable, Dataflow, Apache Beam and Pub/Sub

Course details

Taught by a Stanford-educated, ex-Googler and an IIT, IIM - educated ex-Flipkart lead analyst. This team has decades of practical experience in quant trading, analytics and e-commerce. 

This course is a gentle yet thorough introduction to Data Science, Statistics and R using real life examples. 

Let’s parse that.

Gentle, yet thorough: This course does not require a prior quantitative or mathematics background. It starts by introducing basic concepts such as the mean, median etc and eventually covers all aspects of an analytics (or) data science career from analysing and preparing raw data to visualising your findings. 

Data Science, Statistics and R: This course is an introduction to Data Science and Statistics using the R programming language. It covers both the theoretical aspects of Statistical concepts and the practical implementation using R. 

Real life examples: Every concept is explained with the help of examples, case studies and source code in R wherever necessary. The examples cover a wide array of topics and range from A/B testing in an Internet company context to the Capital Asset Pricing Model in a quant finance context. 

What's Covered:

Data Analysis with R: Datatypes and Data structures in R, Vectors, Arrays, Matrices, Lists, Data Frames, Reading data from files, Aggregating, Sorting & Merging Data Frames

Linear Regression: Regression, Simple Linear Regression in Excel, Simple Linear Regression in R, Multiple Linear Regression in R, Categorical variables in regression, Robust regression, Parsing regression diagnostic plots

Data Visualization in R: Line plot, Scatter plot, Bar plot, Histogram, Scatterplot matrix, Heat map, Packages for Data Visualisation : Rcolorbrewer, ggplot2

Descriptive Statistics: Mean, Median, Mode, IQR, Standard Deviation, Frequency Distributions, Histograms, Boxplots

Inferential Statistics: Random Variables, Probability Distributions, Uniform Distribution, Normal Distribution, Sampling, Sampling Distribution, Hypothesis testing, Test statistic, Test of significance

Using discussion forums

Please use the discussion forums on this course to engage with other students and to help each other out. Unfortunately, much as we would like to, it is not possible for us at Loonycorn to respond to individual questions from students:-(

We're super small and self-funded with only 2 people developing technical video content. Our mission is to make high-quality courses available at super low prices.

The only way to keep our prices this low is to *NOT offer additional technical support over email or in-person*. The truth is, direct support is hugely expensive and just does not scale.

We understand that this is not ideal and that a lot of students might benefit from this additional support. Hiring resources for additional support would make our offering much more expensive, thus defeating our original purpose.

It is a hard trade-off.

Thank you for your patience and understanding!

Who is the target audience?

• Yep! MBA graduates or business professionals who are looking to move to a heavily quantitative role
• Yep! Engineers who want to understand basic statistics and lay a foundation for a career in Data Science
• Yep! Analytics professionals who have mostly worked in Descriptive analytics and want to make the shift to being modelers or data scientists
• Yep! Folks who've worked mostly with tools like Excel and want to learn how to use R for statistical analysis

BASIC KNOWLEDGE

• No prerequisites : We start from basics and cover everything you need to know. We will be installing R and RStudio as part of the course and using it for most of the examples. Excel is used for one of the examples and basic knowledge of excel is assumed.

WHAT YOU WILL LEARN

• Harness R and R packages to read, process and visualize data
• Understand linear regression and use it confidently to build models
• Understand the intricacies of all the different data structures in R
• Use Linear regression in R to overcome the difficulties of LINEST() in Excel
• Draw inferences from data and support them using tests of significance
• Use descriptive statistics to perform a quick study of some data and present results

Course details

If you want to learn how to start building professional, career-boosting mobile apps and use Machine Learning to take things to the next level, then this course is for you. The Complete iOS Machine Learning Masterclass™ is the only course that you need for machine learning on iOS. Machine Learning is a fast-growing field that is revolutionizing many industries with tech giants like Google and IBM taking the lead. In this course, you’ll use the most cutting-edge iOS Machine Learning technology stacks to add a layer of intelligence and polish to your mobile apps. We’re approaching a new era where only apps and games that are considered “smart” will survive. (Remember how Blockbuster went bankrupt when Netflix became a giant?) Jump the curve and adopt this innovative approach; the Complete iOS Machine Learning Masterclass™ will introduce Machine Learning in a way that’s both fun and engaging.

In this course, you will:

• Master the 3 fundamental branches of applied Machine Learning: Image & Video Processing, Text Analysis, and Speech & Language Recognition
• Develop an intuitive sense for using Machine Learning in your iOS apps
• Create 7 projects from scratch in practical code-along tutorials
• Find pre-trained ML models and make them ready to use in your iOS apps
• Create your own custom models
• Add Image Recognition capability to your apps
• Integrate Live Video Camera Stream Object Recognition to your apps
• Add Siri Voice speaking feature to your apps
• Dive deep into key frameworks such as coreML, Vision, CoreGraphics, and GamePlayKit.
• Use Python, Keras, Caffee, Tensorflow, sci-kit learn, libsvm, Anaconda, and Spyder–even if you have zero experience
• Get FREE unlimited hosting for one year
• And more!

This course is also full of practical use cases and real-world challenges that allow you to practice what you’re learning. Are you tired of courses based on boring, over-used examples? Yes? Well then, you’re in a treat. We’ll tackle 5 real-world projects in this course so you can master topics such as image recognition, object recognition, and modifying existing trained ML models. You’ll also create an app that classifies flowers and another fun project inspired by Silicon Valley™ Jian Yang’s masterpiece: a Not-Hot Dog classifier app! 

Why Machine Learning on iOS

One of the hottest growing fields in technology today, Machine Learning is an excellent skill to boost your your career prospects and expand your professional tool kit. Many of Silicon Valley’s hottest companies are working to make Machine Learning an essential part of our daily lives. Self-driving cars are just around the corner with millions of miles of successful training. IBM’s Watson can diagnose patients more effectively than highly-trained physicians. AlphaGo, Google DeepMind’s computer, can beat the world master of the game Go, a game where it was thought only human intuition could excel.

In 2017, Apple has made Machine Learning available in iOS 11 so that anyone can build smart apps and games for iPhones, iPads, Apple Watches and Apple TVs. Nowadays, apps and games that do not have an ML layer will not be appealing to users. Whether you wish to change careers or create a second stream of income, Machine Learning is a highly lucrative skill that can give you an amazing sense of gratification when you can apply it to your mobile apps and games.

Why This Course Is Different

Machine Learning is very broad and complex; to navigate this maze, you need a clear and global vision of the field. Too many tutorials just bombard you with the theory, math, and coding. In this course, each section focuses on distinct use cases and real projects so that your learning experience is best structured for mastery.

This course brings my teaching experience and technical know-how to you. I’ve taught programming for over 10 years, and I’m also a veteran iOS developer with hands-on experience making top-ranked apps. For each project, we will write up the code line by line to create it from scratch. This way you can follow along and understand exactly what each line means and how to code comes together. Once you go through the hands-on coding exercises, you will see for yourself how much of a game-changing experience this course is.

As an educator, I also want you to succeed. I’ve put together a team of professionals to help you master the material. Whenever you ask a question, you will get a response from my team within 48 hours. No matter how complex your question, we will be there–because we feel a personal responsibility in being fully committed to our students.

By the end of the course, you will confidently understand the tools and techniques of Machine Learning for iOS on an instinctive level.

Don’t be the one to get left behind. Get started today and join millions of people taking part in the Machine Learning revolution.

topics: ios 11 swift 4 coreml vision deep learning machine learning neural networks python anaconda trained models keras tensorflow scikit learn core ml ios11 Swift4 scikitlearn artificial neural network ANN recurrent neural network RNN convolutional neural network CNN ocr character recognition face detection ios 11 swift 4 coreml vision deep learning machine learning neural networks python anaconda trained models keras tensorflow scikit learn core ml ios11 Swift4 scikitlearn artificial neural network ANN recurrent neural network RNN convolutional neural network CNN ocr character recognition face detection ios 11 swift 4 coreml vision deep learning machine learning neural networks python anaconda trained models keras tensorflow scikit learn core ml ios11 Swift4 scikitlearn artificial neural network ANN recurrent neural network RNN convolutional neural network CNN ocr character recognition face detection ios 11 swift 4 coreml vision deep learning machine learning neural networks python anaconda trained models keras tensorflow scikit learn core ml ios11 Swift4 scikitlearn artificial neural network ANN recurrent neural network RNN convolutional neural network CNN ocr character recognition face detection ios 11 swift 4 coreml vision deep learning machine learning neural networks python anaconda trained models keras tensorflow scikit learn core ml ios11 Swift4 scikitlearn artificial neural network ANN recurrent neural network RNN convolutional neural network CNN ocr character recognition face detection 

Who is the target audience?

• People with a basic foundation in iOS programming who would like to discover Machine Learning, a branch of Artificial Intelligence
• People who want to pursue a career combining app development and Machine Learning to become a hybrid iOS developer and ML expert
• Developers who would like to apply their Machine Learning skills by creating practical mobile apps
• Entrepreneurs who want to leverage the exponential technology of Machine Learning to create added value to their business could also take this course. However, this course does assume that you are familiar with basic programming concepts such as object oriented programming, variables, methods, classes, and conditional statements

BASIC KNOWLEDGE

• Basic understanding of programming
• Have access to a MAC computer or MACinCloud website

WHAT YOU WILL LEARN

• Build smart iOS 11 & Swift 4 apps using Machine Learning
• Use trained ML models in your apps
• Convert ML models to iOS ready models
• Create your own ML models
• Apply Object Prediction on pictures, videos, speech and text
• Discover when and how to apply a smart sense to your apps

Course details

This course covers the fundamental building blocks of your required skillset - You will understand the threat and vulnerability landscape through threat modelling and the risk assessment.

We explore the Darknet and mind-set of the cyber criminal. Covering malware, exploit kits, phishing, zero day vulnerabilities and much more.

You will learn about the global tracking and hacking infrastructures that nation states run. Covering the NSA, FBI, CIA, GCHQ, China’s MSS and other intelligence agencies capabilities.

You will understand the foundations of operating system security and privacy functionality. A close look at the new Windows 10 privacy issues and how to best mitigate them.

There is a complete easy to follow crash course on encryption, how encryption can be bypassed and what you can do to mitigate the risks.

Master defences against phishing, SMShing, vishing, identity theft, scam, cons an other social engineering threats.

Finally we cover the extremely important, but underused security control of isolation and compartmentalization. Covering sandboxes, application isolation, virtual machines, Whonix and Qubes OS.

This is volume 1 of 4 of your complete guide to cyber security privacy and anonymity.

BASIC KNOWLEDGE

• A basic understanding of using operating systems, networks, and the Internet. Be able to download and install software. A willingness to learn.
• Please note this is Volume 1 of 4 of the complete course. After the completion of all 4 volumes, you will know more than 80% of security professionals , government and law enforcement agents and even expert hackers about maintaining security, privacy, and anonymity.

WHAT YOU WILL LEARN

• An advanced practical skillset in defeating all online threats - advanced hackers, trackers, malware and all Internet nastiness including mitigating government spying and mass surveillance.
• The very latest up-to-date information and methods.
• We cover operating system security, privacy, and patching - On Windows 7, Windows 8, Windows 10, MacOS and Linux.
• Explore the threat landscape - Darknets, dark markets, zero day vulnerabilities, exploit kits, malware, phishing and much more.
• You will master encryption in an easy to follow crash course.
• Go in-depth into security through physical and virtual isolation and compartmentalization. Covering sandboxes, application isolation, virtual machines, Whonix and Qubes OS.
• You will learn about nation state secret tracking and hacking infrastructure.

Course details

After this course, you will be able to discover security vulnerabilities across an entire network, by using network hacking techniques and vulnerability scanning .

You will be able to architect your network for maximum security and prevent local and remote attacks. We also cover the use of custom router firmware to provide you with better network security services.

You will understand the various types of firewalls that are available and what threats each help mitigate.

Including layer 4 firewalls like Iptables on Linux and PF on MacOS and BSD. Virtual firewalls, host-based firewalls and application based firewalls like Pfsence. We cover firewalls on all platforms including Windows, Mac OS X and Linux for all types of use scenarios.

We explore in detail wireless security, the configurations that are required for maximum security and why. How Wi-Fi is hacked and how to mitigate those attacks. Covering everything from encryption weaknesses to evil twins, RF isolation, and Wi-Fi crackers.

You will master network monitoring to discover and identify potential hackers, malware and other adversaries that might be lurking on your network. Using tools like Wireshark, Tcpdump and Syslog.

We then move away from network security and onto the details of how we are tracked online by corporations, nation-states your ISP and others. You will understand the techniques used like zombie super cookies, browser fingerprinting and how browser profiling works so third parties can establish who you are online.

We look at search engine privacy - and how to mitigate the tracking and privacy issues of search engines and their associated services.

Browser security - We cover one of the largest risks online, the browser. The doorway into your system. How to best reduce the attack surface of the browser and harden it for maximum security and privacy. A critical consideration for reducing your risk.

Finally you will fully understand how to best use methods of authentication including passwords and multi-factor authentication - soft tokens and hard tokens .

The best password managers to use and why. How passwords are cracked, and how to mitigate the cracking.

This is volume 2 of 4 of your complete guide to cyber security privacy and anonymity.

BASIC KNOWLEDGE

• This course is designed for personal and home cyber security, privacy and anonymity. Most of the topics apply in the same way to a business, but the course is delivered as if to an individual for personal cyber security, privacy, and anonymity.
• It is recommended that you watch volume 1 of this complete course before watching this volume (2) although it is not required.
• You can take this volume as a stand-alone course.
• You should have a basic understanding of networking concepts.
• Please note this is volume 2 of 4 of the complete course. After the completion of all 4 volumes, you will know more than 80% of security professionals, government and law enforcement agents and even expert hackers about maintaining security, privacy, and anonymity.

WHAT YOU WILL LEARN

• An advanced practical skill-set in assuring network security against all threats including - advanced hackers, trackers, exploit kits, Wi-Fi attacks and much more.
• In this volume, we take a detailed look at network security.
• The very latest up-to-date information and methods.
• Discover security vulnerabilities across an entire network, by using network hacking techniques and vulnerability scanning.
• You will be able to configure firewalls on all platforms including Windows, MacOS, and Linux for all types of attack scenarios.
• Learn to configure and architect a small network for maximum physical and wireless security.
• Perform network monitoring to discover and identify potential hackers and malware using tools like Wireshark, Tcpdump, and Syslog.
• Understand how we are tracked online by corporations, nation-states your ISP and others.
• We look at search engine privacy - we will best understand how to mitigate the tracking and privacy issues of search engines and their associated services.
• Understand how to best use methods of authentication including passwords, multi-factor authentication including soft tokens and hard tokens.
• What are the best password managers to use and why. How passwords are cracked, and how to mitigate the password attacks.

Course details

Learn a practical skill-set in staying anonymous online and maintaining total privacy against even a well-resourced adversary with global influence.

Covering all major platforms including Windows, MacOS, Linux. iOS and Android. Plus Tails, Whonix, and others.

Become a cybersecurity specialist. - Go from beginner to expert in this easy to follow the advanced course.

We cover in detail all the best anonymising and privacy methods. Including;

• Tor
• VPNs - Virtual Private Networks
• Proxy servers - HTTP, HTTPS, SOCKs and Web
• SSH Secure Shell
• Live Operating Systems - Tails, Knoppix, Puppy Linux, Jondo live, Tiny Core Linux
• OPSEC - Operation Security
• I2P - The Invisible Internet Project
• JonDoNym
• Off-site connections - Hotspots and Cafes
• Mobile, Cell Phones & Cellular Networks
• Bulletproof hosting 
• and more....

For each of these anonymizing methods we analysis in detail their strengths and weaknesses, we look at the techniques used to attack these anonymity services and what you can do to mitigate those de-anonymization attacks.

Advanced anonymity: We explore chaining and nesting anonymizing services together to provide layers of obfuscation for maximum anonymity against even the most well-resourced adversaries.

We cover bypassing censors, firewalls, and proxies. Learn to bypass the trickiest of censoring devices including DPI (deep packet inspection).

The course covers both the theory and practical.  

This is volume 3 of 4 of your complete guide to cyber security privacy and anonymity. 

BASIC KNOWLEDGE

• A basic understanding of using operating systems, networks, and the Internet. Be able to download and install software. A willingness to learn.
• I recommend you watch volume 1 and 2 of this complete course before watching this volume (3) although it is not required.
• Most items referenced in this course are free. But you may elect to purchase additional software, hardware, and services discussed in the course. Although It is absolutely not necessary to buy anything to understand and follow the course.
• Please note this is Volume 3 of 4 of the complete course. After the completion of all 4 volumes, you will know more than 80% of security professionals, government and law enforcement agents and even expert hackers about maintaining security, privacy, and anonymity.

WHAT YOU WILL LEARN

• An advanced practical skill-set in how to stay anonymous online, how to maintain privacy and how to bypass firewalls and proxies.
• After this course, you will have a detailed understanding of how anonymity online might be achieved against various types of adversaries. From corporations to nation-state adversaries.
• Become a cybersecurity specialist.
• The very latest up-to-date information and methods.
• You will learn how to apply effective OPSEC or operational security to maintain anonymity online. OPSEC is the actions and behaviours required to maintain security and anonymity.
• We look at live operating systems, what they are, which are the best ones, and how they can be used for security, privacy, and anonymity.
• You will gain a complete understanding of how to use virtual private networks (or VPNs) for security, privacy and to attempt anonymity. Everything from choosing a provider to preventing protocol leaks.
• We fully explore the anonymising service and darknet known as Tor. What are its weaknesses and what you can do to mitigate those weaknesses to improve your anonymity and security when you are using Tor. Including exploring the use of virtual and hardware routers and gateways.
• You will learn how proxies servers are used for privacy and hiding your IP address. You will understand the difference between the various types of proxies, what they are suitable for, and importantly learn about their many weaknesses.
• We cover how to use the extremely versatile SSH protocol for optimal security, privacy, and anonymity. Covering local, remote and dynamic port forwarding. Authentication and hardening.
• You will understand the i2p darknet and how to best use it with optimal configuration to protect your security and anonymity.
• We look at other privacy and anonymizing services too such as JonDoNym, botnets, and bulletproof hosting services.
• We cover in detail how censorship can be circumvented by learning how to bypass firewalls, proxies, deep packet inspection technology and nation state censorship.
• Then we learn the more advanced methods of anonymization by exploring nesting and chaining anonymizing services together. You will understand their strengths, weaknesses and what each chaining method is suitable for.
• You will understand how to use off-site connections such as Wi-Fi hotspots and Internet cafes for privacy and anonymity. How to use them securely and anonymously even against a well-resourced adversary with global influence.
• We cover how to use cellular networks for privacy and anonymity. You will understand the inherent weaknesses of cellular networks and how to use them best for privacy and anonymity.
• For each section, you will learn both the theory and how to step by step setup each method.
• A certificate of completion is available signed by the instructor Nathan House so CPE credits can be claimed. An off-site sign-up is required to provide your details for this optional certificate.

Course details

Learn a practical skill-set in securing laptops, desktops and mobile devices from all types of threats, including, advanced hackers, trackers, exploit kits, thieves and much more.

On this course, we cover end-point-protection, which is an extremely important and hot topic in cybersecurity right now!

Become a cybersecurity specialist - Go from a beginner to advance in this easy to follow the expert course. 

Covering all the major platforms Windows, MacOS, Linux, iOS and Android.

Master the selection and implementation of solid disk encryption technology to protect devices from disk decryption attacks.

Understand the current and next generation anti-virus solutions, how they work, how to select the best products and how to implement them successfully. 

Covering traditional end-point-protection technologies through to next generation and future technology; application control, execution prevention, machine learning and Artificial Intelligence.

Learn how we can detect and monitor for threats such as malware and hackers through the use of security through deception and detection technologies.

We have fun learning how to seek and destroy system resident malware and hackers. Get up to speed on your hacker hunting!

Learn how to perform operating system hardening to decrease the attacker surfaces of your devices to make them safer. 

Explore the best techniques in anti-forensics to securely delete data and meta-data so that it is unrecoverable by even computer forensics experts.

Plus there is more. We end by looking the extremely important topic of email and messenger security. Email has natively poor security, but in this course, I teach you how to overcome those weaknesses and fully secure your communication.

This is volume 4 of 4 of your complete guide to cybersecurity, privacy, and anonymity. 

BASIC KNOWLEDGE

• A basic understanding of using operating systems, networks, and the Internet. Be able to download and install software. A willingness to learn.
• I recommend you watch volumes 1, 2 and 3 of this complete course before watching this volume 4 although it is not required.
• You can take this volume as a stand-alone course.
• Please note this is Volume 4 of 4 of the complete course. After the completion of all 4 volumes, you will know more than 80% of security professionals, government and law enforcement agents and even expert hackers about maintaining security, privacy, and anonymity.

WHAT YOU WILL LEARN

• An advanced practical skill-set in securing laptops, desktops and mobile devices.
• Become a cyber security specialist
• The very latest up-to-date information and methods.
• You will master the selection and implementation of solid disk encryption technology to protect devices fully from disk decryption attacks.
• We cover all the diverse technologies offered by end-point-protection software; from traditional approaches, through to next generation and future technology. Covering methods like application control, execution prevention, machine learning and AI.
• How to detect and monitor for threats such as malware and hackers through the use of security through deception and detection technologies.
• How to seek and destroy system resident malware and hackers; Get up to speed on your hacker hunting!
• How to perform operating system hardening to decrease the attacker surfaces of your devices to make them safer.
• We explore the best techniques in anti-forensics to securely delete data and meta-data so that it is unrecoverable by even computer forensics experts.
• We end by looking the extremely important topic of email and messenger security.
• A certificate of completion is available signed by the instructor Nathan House so CPE credits can be claimed. An off-site sign-up is required to provide your details for this optional certificate.

Course details

Welcome to CompTIA Cybersecurity Analyst CSA+ CS0-001. The Total Course from Total Seminars and Brent Chapman.

This course covers everything you need to know to pass your CompTIA CSA+ Certification (CS0-001) Exam. The first goal of the course is to make you an outstanding cybersecurity analyst and in the process, make sure you are ready to pass the CompTIA exam.

The course covers all the CompTIA CSA+ CS0-001 Objective Domains:

1.0 Threat Management: 27%

2.0 Vulnerability Management: 26%

3.0 Cyber Incident Response: 23%

4.0 Security Architecture and Tool Sets: 24%

Topics include:           

• Threat and vulnerability management
• Conducting an analyzing reconnaissance
• Responding to network-based threats
• Securing a corporate network
• Cyber incident response
• Determining the impact of incidents
• Preparing the incident response toolkit

CSA+ provides substantial earnings potential

A career in information security analysis ranked seventh on U.S. News and World Report’s list of the 100 best technology jobs for 2017. According to the Bureau of Labor Statistics, the median pay for an information security analyst is $90,120 per year.

CSA+ certified skills are in-demand

Properly trained IT security staff who can analyze, monitor and protect cybersecurity resources are in high demand.  The U.S. Bureau of Labor Statistics (BLS) predicts that information security analysts will be the fastest growing overall job category, with 37 percent overall growth between 2012 and 2022.

Follow the CompTIA Cybersecurity Certification Pathway

IT Fundamentals > A+ > Network+ > Security+ > CSA+ > CASP

Who is the target audience?

This course is intended for anyone who is interested in a Cybersecurity position or looking to improve their security skills. The course will prepare you to pass the CompTIA CSA+ Certification Exam. It goes beyond certification and gives you the skills you need to be a better cybersecurity analyst.

BASIC KNOWLEDGE

• Basic familiarity with PCs and networks.
• There are no specific prerequisites as the course covers all the topics in detail.
• It is a good idea to have an understanding of CompTIA A+, Network+, and Security+ or to be certified in these topics. You can learn more about these certifications from our Mike Meyers – Total Seminars CompTIA A+, Network+, and Security+ Certification courses on Simpliv.

WHAT YOU WILL LEARN

• This is a complete and comprehensive CompTIA CSA+ Certification (CS0-001) course. It is designed to prepare the student to be able to take and pass the Cybersecurity Analyst exam and become CompTIA CSA+ Certified.
• Learn skills to break into a career in information security analysis, which ranks 7th in the 100 best tech jobs for 2017, and is predicted to be the fastest growing overall job category between 2012-2022. Cybersecurity Analysts earn a median pay of $90,120.

Course details

This course teaches the student advanced methods or steps that can be used to protect one's computer against malicious intrusion, either in the form of a hacking attempt or in the form of attacks by viruses. The course covers the following topics:

• Terminology and types of hacker attacks taking place today
• Password design and password strategies that can be used to protect you
• Ways to protect your computer and its content through improved "privacy" settings
• How to actually increase the Privacy Settings on your Windows 10 operating system
• The difference between anti-hacking software and anti-virus software
• The importance of anti-virus software
• Best practices for using anti-virus software effectively

Once a student completes this course, he or she will have a much clearer understanding as to how intrusion attack attempts occur and how one can protect oneself against them.

BASIC KNOWLEDGE

A student should have a basic understanding of anti-virus software.

A student should know how to get to the "Settings" area of their computer's "Control Panel" to make changes.

WHAT YOU WILL LEARN

Through this course, you will learn how to:

• Increase the security of your computer and better protect your data
• Implement strategies to help protect against hackers, viruses, and other external threats
• Know how to increase the privacy of your computer, your data and protect yourself while surfing the Internet

Course details

Welcome to the CompTIA Security+ Certification; SY0-401. The Total Course from Mike Meyers and Total Seminars.

This course covers everything you need to know to pass your CompTIA Security+ Certification SY0-401 Exam. The first goal of the course is to make you a good IT security tech and in the process make sure you are ready to pass the CompTIA Security+ exam. This course is over 10 hours in length containing over 80 video lectures.

The course covers all the CompTIA Security+ SY0-401 Objective Domains:

1.0 Network Security: 20%

2.0 Compliance and Operational Security: 18%

3.0 Threats and Vulnerabilities: 20%

4.0 Application, Data and Host Security: 15%

5.0 Access Control and Identity Management: 15%

6.0 Cryptography: 12%

Topics include:

• Risk management.
• Cryptography.
• Authentication and authorization.
• Host, LAN, and application security.
• Wireless, cloud and mobile security.
• Environmental and personnel security and controls.

This is a Total Security+ Course, it covers everything a good tech needs to know and prepares you to pass the CompTIA Security+ Certification exam.

Who is the target audience?

• This course is intended for anyone that is preparing for an IT Security position or looking to improve their security skills and become CompTIA Security+ Certified. However, it goes beyond that and will give you the skills you need to be a better security tech on the job.

BASIC KNOWLEDGE

• Basic familiarity with PCs and networks.
• There are no specific prerequisites as the course covers all the topics in detail.
• It is a good idea to have an understanding of CompTIA A+ and Network+ or to be certified in these topics. You can learn more about these certifications from our Mike Meyers – Total Seminars CompTIA A+ and Network+ Certification courses on Simpliv.

WHAT YOU WILL LEARN

• This is a complete and comprehensive CompTIA Security+ Certification; SY0-401 course. It is designed to prepare the student to be able to take and pass the exam to become CompTIA Security+ Certified.
• Once you complete the course you will have the knowledge and confidence to pass the CompTIA exam AND the skills to be a great IT security tech. This course is ideal as both a study tool and an on-the-job reference.
• Your new skills and the CompTIA Security+ Certification will help you land a great It security tech job or if you are already a security tech, get that raise or advancement you are after.

Course details

Welcome to the CompTIA A+ Certification 901. The Total Course from Mike Meyers and Total Seminars.

This is the first of a two-course series for CompTIA A+ and is designed to prepare you to take and pass the CompTIA A+ 220-901 exam. To become fully A+ certified you will need to pass both the 220-901 and 220-902 exams. This course is over 14 hours in length containing over 120 video lectures. The first goal of the course is to make you a good PC Tech and in the process make sure you are ready to pass the CompTIA 901 exam.

The course covers all the CompTIA A+ 220-901 Objective Domains:

1.0 Hardware: 34%

2.0 Networking: 21%

3.0 Mobile Devices: 17%

4.0 Hardware & Networking Troubleshooting: 28%

Topics include how to:

• Work with CPU, RAM, BIOS, motherboards, power supplies, and other PC components.
• Install, configure, and maintain hard drives.
• Manage input devices and removable media.
• Troubleshoot and fix common PC problems.
• Install video and multimedia cards.
• Work with smartphones, tablets, and other mobile devices.
• Install and configure wired and wireless networks.
• Connect to the Internet.
• Install, configure, and manage printers and other peripherals

Who is the target audience?

• This course is intended for anyone that is preparing for an entry level PC technician position or looking to improve their skills and become CompTIA A+ Certified. However, it goes beyond that and will give you the skills you need to be a better tech on the job.

BASIC KNOWLEDGE

• Basic familiarity with PCs and networks.
• There are no specific prerequisites as the course covers all the topics in detail.

WHAT YOU WILL LEARN

• This is a complete and comprehensive CompTIA A+ 220-901 course. It is designed to prepare the student to be able to take and pass the first of two A+ exams needed to become CompTIA A+ Certified. To become A+ Certified requires you to pass BOTH the 220-901 and 220-902 exams. There is a separate course covering the 220-902 exam.
• Once you complete the two CompTIA A+ courses, you will have the knowledge and confidence to pass the exams AND the skills to be a great PC tech. This course is ideal as both a study tool and an on-the-job reference.
• Your new skills and the CompTIA A+ Certification will help you land your first PC tech job or if you are already a PC tech, get that raise or advancement you are seeking.

Course details

Welcome to the CompTIA A+ Certification 902. The Total Course from Mike Meyers and Total Seminars.

This is the second of a two-course series for CompTIA A+ and is designed to prepare you to take and pass the CompTIA A+ 220-902 exam. To become fully A+ certified you will need to pass both the 220-901 and 220-902 exams. This course is over 10 hours in length containing over 100 video lectures. The first goal of the course is to make you a good PC Tech and in the process make sure you are ready to pass the CompTIA 902 exam.

The course covers all the CompTIA A+ 220-902 Objective Domains:

1.0 Windows Operating Systems: 29%

2.0 Other Operating Systems & Technologies: 12%

3.0 Security: 17%

4.0 Software Troubleshooting: 28%

5.0 Operational Procedures: 13%

Topics include how to:

• Set up, upgrade and maintain all versions of Windows.
• Basics of OS X and Linux.
• Configure and secure mobile devices.
• Protect your PC and your network.
• Work with virtualization technologies.
• Understand safety and environmental issues.

Who is the target audience?

• This course is intended for anyone that is preparing for an entry-level PC technician position or looking to improve their skills and become CompTIA A+ Certified. However, it goes beyond that and will give you the skills you need to be a better tech on the job.

BASIC KNOWLEDGE

• Basic familiarity with PCs and networks.
• There are no specific prerequisites as the course covers all the topics in detail.

WHAT YOU WILL LEARN

• This is a complete and comprehensive CompTIA A+ 220-902 course. It is designed to prepare the student to be able to take and pass the second of two A+ exams needed to become CompTIA A+ Certified. To become A+ Certified requires you to pass BOTH the 220-901 and 220-902 exams. There is a separate course covering the 220-901 exam.
• Once you complete the two CompTIA A+ courses, you will have the knowledge and confidence to pass the exams AND the skills to be a great PC tech. This course is ideal as both a study tool and an on-the-job reference.
• Your new skills and the CompTIA A+ Certification will help you land your first PC tech job or if you are already a PC tech, get that raise or advancement you are seeking.

Course details

Welcome to the CompTIA Network+ Certification; N10-006. The Total Course from Mike Meyers and Total Seminars.

This course is over 15 hours in length and covers everything you need to know to pass your CompTIA Network+ Certification (N10-006) Exam. The first goal of the course is to make you a good Network Tech and in the process make sure you are ready to pass the CompTIA exam.

The course covers all the exam topics including:

• Network architectures
• Cabling and topology
• Ethernet basics
• Network installation
• TCP/IP applications and network protocols
• Routing
• Network naming
• Advanced networking devices
• IPv6
• Remote connectivity
• Wireless networking
• Virtualization and cloud computing
• Network operations
• Managing risk

This is a Total Network+ Course and covers everything a good tech needs to know and prepares you to pass the CompTIA Network+ Certification exam.

Who is the target audience?

• This course is intended for anyone that is preparing for a network technician position or looking to improve their skills and become CompTIA Network+ Certified. However, it goes beyond that and will give you the skills you need to be a better network tech on the job.

BASIC KNOWLEDGE

• Basic familiarity with networks.
• There are no specific prerequisites as the course covers all the topics in detail. However, it’s a good idea to have an understanding of CompTIA A+ Certification topics or to be A+ Certified. You can learn more about A+ Certification topics from our Mike Meyers – Total Seminars CompTIA A+ Certification course on Simpliv.

WHAT YOU WILL LEARN

• This is a complete and comprehensive CompTIA Network+ Certification (N10-006) course. It is designed to prepare the student to be able to take and pass the certification exam needed to become CompTIA Network+ Certified.
• Once you complete the course, you will have the knowledge and confidence to pass the exams AND the skills to be a great Network tech. This course is ideal as both a study tool and an on-the-job reference.
• Your new skills and the CompTIA Network+ Certification will help you land a Network tech job or if you are already a network tech, get that raise or advancement you are seeking.

Course details

Welcome to the IT Fundamentals; FC0-501. The Total Course from Mike Meyers, Scott Jernigan, and Total Seminars.

Be your own Geek. This course is for everyone who has had to call a Help Desk or a Geek friend to help them with basic PC and mobile issues. You will learn about PCs, tablets, phones, networks, and Internet issues. You will also learn about security, safety, and preventative maintenance.

Learn how to:

•  Identify and understand basic computer components and what they do
•  Understand operating systems, data storage and sharing
•  Set up and configure a basic PC workstation
•  Work with applications and files
•  Handle basic software installation
•  Set up and configure a mobile device
• Connect to networks and the Internet
•  Identify/prevent basic security risks
•  Identify compatibility issues
•  Understand safety and preventative maintenance of computers

This course covers everything you need to know to pass the CompTIA IT Fundamentals Certification FC0-U51 exam. The first goal of the course is to help users better understand, set up, configure, and troubleshoot PCs and mobile devices. The process will prepared you to pass the CompTIA IT Fundamentals exam. 

The course covers all the CompTIA IT Fundamentals FC0-U51 objective domains:

1.0 Software

2.0 Hardware

3.0 Security

4.0 Networking

5.0 Basic IT Literacy

The Total IT Fundamentals Course covers everything you need to know to be your own PC, mobile, network, and security Geek.

Who is the target audience?

• This course is for EVERYONE who uses PCs and mobile devices.
• CompTIA has a certification for IT Fundamentals (FC0-U51) but the course will help any user better understand the technology they use every day.

BASIC KNOWLEDGE

• Basic user of PCs, mobile devices, the Internet and networks.
• There are no specific prerequisites as the course covers all the topics in detail.

WHAT YOU WILL LEARN

• The first and most important goal of this course is to help every PC and mobile device user to better understand the setup, software installation and configuration, network connectivity, security issues and basic troubleshooting.
• By the end of the course, you will better understand everything from file structure, to software installation, to WiFi connectivity and troubleshooting to overall setup, configuration and troubleshooting PCs and mobile devices.
• This course will help you prepare for and pass the CompTIA IT Fundamentals FC0-U51 Certification exam.

Course details

Welcome to The Ultimate Ethical Hacking Boot Camp.

Learn Ethical Hacking from a world famous Ethical Hacker who has professional endorsements from people like Mark Cuban Billionaire tech entrepreneur, Star of Shark Tank, and the legendary cybersecurity expert John McAfee. 

Seely "thinks entirely out of the box, and has consistently looked to leverage his skills for the good of society,"

McAfee said in a statement.

This course is jam-packed with content and will take an absolute beginner in cybersecurity & ethical hacking from zero to being able to actually hack wireless routers, crack passwords, and understand the reasons why those things work. You will be getting live video demonstrations, lectures, and in some video's ill be on camera explaining something.

We talk about the process of hacking, from gathering information in the Recon phase, to more involved looks at our targets in the scanning phase. Enumeration and System hacking bring the basic "hacking process" to a close, but that is not the end of things, far from it.

Many of today's large hacks and data breaches that you see all over the news are the results of very clever & persistent social engineers. Social Engineers figure out that you can't always hack the machines, and sometimes its much easier to hack the unsuspecting person using the machine. Learn valuable skills in conducting Social Engineering Penetration Tests as well as how to protect against social engineering attacks.

You are going to enjoy the demos on the course as they will walk you through the whole process and not just the highlights. You can follow along with every single demo and make them into practice courses for yourself. 

in just a few hours, you will already be figuring out new ways to use the software tools and tricks I have shown you and come up with new things to try. It is kind of addicting once you get into it.

I can't promise a prestigious job right out of the gate, but I can promise you that you will learn way more in this course than you thought was possible, and you will want to learn even more.

Get rid of the mystery and learn what real hackers know. If you are excited at the idea of being an ethical hacker, then there is no better place to start than right here.

Who is the target audience?

• Anyone with a basic tech/computer background that wants to learn about ethical hacking and cybersecurity
• Anyone already in the information security field who wants to get some practical experience and brush up on skills

BASIC KNOWLEDGE

• A basic understanding of computers
• A basic understanding of networking
• Windows / Linux / Mac Operating system and hardware capable of running virtual machines, or spare hardware to run the other operating systems necessary to perform the Practice Demos

WHAT YOU WILL LEARN

• Setup a testing lab for penetration testing
• Identify and hack into wireless access points
• Recover lost passwords with password cracking tools
• Simulate a phishing attack to steal usernames and passwords with a decoy website

Course details

SikuliX is very unusual - a scripting/automation technology that relies on pattern matching, and is available for use via Python or Java. Developed at the User Interface Design Group at MIT, is a powerful and easy-to-use technology that uses image recognition to automate just about anything that appears on-screen.

Sikuli is rather hard to slot - it offers all of the functionality of an automation or scripting tool, but it also offers some powerful and very novel image-matching functionality for truly novel use-cases that revolve around image search. In addition it has an OCR-mode, in which image matches are performed after converting those image patterns to text. This gives rise to some pretty new applications.

The OCR-functionality is powered by Tesseract, an open-source optical character recognition engine whose development is sponsored by Google.

Using discussion forums

Please use the discussion forums on this course to engage with other students and to help each other out. Unfortunately, much as we would like to, it is not possible for us at Loonycorn to respond to individual questions from students:-(

We're super small and self-funded with only 2 people developing technical video content. Our mission is to make high-quality courses available at super low prices.

The only way to keep our prices this low is to *NOT offer additional technical support over email or in-person*. The truth is, direct support is hugely expensive and just does not scale.

We understand that this is not ideal and that a lot of students might benefit from this additional support. Hiring resources for additional support would make our offering much more expensive, thus defeating our original purpose.

It is a hard trade-off.

Thank you for your patience and understanding!

Who is the target audience?

• Yep! Automation testers and folks look to automate repetitive tasks
• Yep! Data professionals looking to extract hard-to-pull data
• Yep! Business professionals looking to dynamically update models they've built

Basic knowledge

• Absolutely basic Python or Java programming ability

What you will learn

• Automate data-pulls from sites and sources that block other scripting tools
•  Generate alerts based on Facebook/Skype and other hard-to-detect events
•  Search large PDFs for images that "look like" the one you are searching for

Course details

Prerequisites: Working with Oozie requires some basic knowledge of the Hadoop eco-system and running MapReduce jobs

Taught by a team which includes 2 Stanford-educated, ex-Googlers and 2 ex-Flipkart Lead Analysts. This team has decades of practical experience in working with large-scale data processing jobs. 

Oozie is like the formidable, yet super-efficient admin assistant who can get things done for you, if you know how to ask

Let's parse that 

formidable, yet super-efficient: Oozie is formidable because it is entirely written in XML, which is hard to debug when things go wrong. However, once you've figured out how to work with it, it's like magic. Complex dependencies, managing a multitude of jobs at different time schedules, managing entire data pipelines are all made easy with Oozie

get things done for you: Oozie allows you to manage Hadoop jobs as well as Java programs, scripts and any other executable with the same basic set up. It manages your dependencies cleanly and logically. 

if you know how to ask: Knowing the right configurations parameters which gets the job done, that is the key to mastering Oozie

What's Covered: 

• Workflow Management: Workflow specifications, Action nodes, Control nodes, Global configuration, real examples with MapReduce and Shell actions which you can run and tweak
• Time-based and data-based triggers for Workflows: Coordinator specification, Mimicing simple cron jobs, specifying time and data availability triggers for Workflows, dealing with backlog, running time-triggered and data-triggered coordinator actions
• Data Pipelines using Bundles: Bundle specification, the kick-off time for bundles, running a bundle on Oozie
• Using discussion forums
• Please use the discussion forums on this course to engage with other students and to help each other out. Unfortunately, much as we would like to, it is not possible for us at Loonycorn to respond to individual questions from students:-(
• We're super small and self-funded with only 2 people developing technical video content. Our mission is to make high-quality courses available at super low prices.
• The only way to keep our prices this low is to *NOT offer additional technical support over email or in-person*. The truth is, direct support is hugely expensive and just does not scale.
• We understand that this is not ideal and that a lot of students might benefit from this additional support. Hiring resources for additional support would make our offering much more expensive, thus defeating our original purpose.

It is a hard trade-off.

Thank you for your patience and understanding!

Who is the target audience?

• Yep! Engineers, analysts and sysadmins who are interested in big data processing on Hadoop
• Nope! Beginners who have no knowledge of the Hadoop eco-system

Basic knowledge

• Students should have basic knowledge of the Hadoop eco-system and should be able to run MapReduce jobs on Hadoop

What you will learn

• Install and set up Oozie
• Configure Workflows to run jobs on Hadoop
• Configure time-triggered and data-triggered Workflows

Course details

88% Four star or above ratings and 50% Five star ratings with an overall rating of (4.4/5)

You receive knowledge from a Ph.D. in Computer science with over 10 years of teaching and research experience and another 7 years of experience in using LATEX

Student Testimonials!

"The selection of topics is good. The content of the lectures is fine. The lecturer talks a bit too fast. I had problems with coding one of the lectures and asked for help from the lecturer He answered me quickly and to the point."

Oddur

Good Class, gives a good overview of using Guide in MATLAB. Explanations are short and to the point. Does not give in-depth instruction. However, the class is very good at showing how to use the Guide in building MATLAB GUIs. If you are unfamiliar with the Guide at all, this is a good class. It will show you how to make GUIs using the Guide and how to work with the many different elements available in the Guide like tables, check boxes, drop down lists, etc.

Joe Boyd  

Your Benefits and Advantages:

This course include 

• All about latex, from downloading to typesetting a latex document, importing images, including tables, working with math equations, algorithms, including citations and many other useful topics, necessary to master the art of producing professional documents in latex
• If you do not find the course useful, you are covered with 30 day money back guarantee, full refund, no questions asked!
• You have lifetime access to the course
• You have instant and free access to any updates i add to the course
• You have access to all Questions and discussions initiated by other students
• You will receive my support regarding any issues related to the course
• Check out the curriculum and Freely available lectures for a quick insight

It's time to take Action!

Click the "Add to Cart" button at the top right now!

Time is limited and Every second of every day is valuable.

I am excited to see you in the course!

Best Regrads,

Dr. Nouman Azam

Basic Course Description 

This course illustrate the essential components required to create a professional quality documents with the LaTeX. LaTeX is frequently used to write thesis, reports, scientific papers for journals, conferences and making presentations. The essential beauty of LaTeX is that it separates the task of document layout/visual representation from that of the contents of the documents. As a result you pay more attention to the actual contents and are not distracted by the visual appearence. It also automates many of the tedious processes involved in writing a professional publications such as managment of references, visual layout and formatting styles.

With LaTeX, you will find easy and effective management of references, figures, tables, footnotes, formatting, mathematical equations, algorithms, scientific proofs, that have no match compared to the the conventional document setting and word processing software.

The course is design in a way that it will introduce you to tools that are freely available online. The examples and other instructional material are included for you to download and practice. 

At the end of this course,  

• You are confident user of LaTeX 
• You will be able to create your own document in LaTeX
• You will learn about different elements of creating professional documents such as how to manage references, figures, tables, footnotes, formatting, mathematical equations, algorithms, scientific proofs and many others
• You will be able to create well formatted mathematical equations, algorithms, and proofs

Who is the target audience?

• Researchers, Entrepreneurs, Instructors, College Students, Engineers, Programmers, Simulators who wants to quickly create front ends for their users to run their code and projects

Basic knowledge

• This course is self explanatory and do not require any prior knowledge of LaTeX

What you will learn

• You are confident user of LaTeX
• You will be able to create your own documents in LaTeX
• You will be able to create well formatted mathematical equations, algorithms, and proofs​
• You will learn about different elements of creating professional documents such as how to manage references, figures, tables, footnotes, formatting, mathematical equations, algorithms, scientific proofs and many others

Course details

This course is for you If you are being fascinated by the field of Machine Learning?

Basic Course Description 

This course is designed to cover one of the most interesting areas of machine learning called classification. I will take you step-by-step in this course and will first cover the basics of MATLAB. Following that we will look into the details of how to use different machine learning algorithms using MATLAB. Specifically, we will be looking at the MATLAB toolbox called statistic and machine learning toolbox.We will implement some of the most commonly used classification algorithms such as K-Nearest Neighbor, Naive Bayes, Discriminant Analysis, Decision Tress, Support Vector Machines, Error Correcting Ouput Codes and Ensembles. Following that we will be looking at how to cross validate these models and how to evaluate their performances. Intuition into the classification algorithms is also included so that a person with no mathematical background can still comprehend the esesential ideas. The following are the course outlines.

• Segment 1: Instructor and Course Introduction
• Segment 2: MATLAB Crash Course
• Segment 3: Grabbing and Importing Dataset
• Segment 4: K-Nearest Neighbor
• Segment 5: Naive Bayes
• Segment 6: Decision Trees
• Segment 7: Discriminant Analysis
• Segment 8: Support Vector Machines
• Segment 9: Error Correcting Ouput Codes
• Segment 10: Classification with Ensembles
• Segment 11: Validation Methods
• Segment 12: Evaluating Performance

At the end of this course,  

• You can confidently implement machine learning algorithms using MATLAB
• You can perform meaningful analysis on the data

Student Testimonials!

This is the second Simpliv class on Matlab I've taken. Already, a couple important concepts have been discussed that weren't discussed in the previous course. I'm glad the instructor is comparing Matlab to Excel, which is the tool I've been using and have been frustrated with. This course is a little more advanced than the previous course I took. As an engineer, I'm delighted it covers complex numbers, derivatives, and integrals. I'm also glad it covers the GUI creation. None of those topics were covered in the more basic introduction I first took.

Jeff Philips

This course is really good for a beginner. It will help you to start from ground up and move on to more complicated areas. Though it does not cover Matlab toolboxes etc, it is still a great basic introduction for the platform. I do recommend getting yourself enrolled for this course.Excellent course and instructor. You learn all the fundamentals of using MATLAB.

Lakmal Weerasinghe

Great information and not talking too much, basically he is very concise and so you cover a good amount of content quickly and without getting fed up!

Oamar Kanji

The course is amazing and covers so much. I love the updates. Course delivers more then advertised. Thank you!

Josh Nicassio

Student Testimonials! who are also instructors in the MATLAB category

"Concepts are explained very well, Keep it up Sir...!!!"

Engr Muhammad Absar Ul Haq instructor of course "Matlab keystone skills for Mathematics (Matrices & Arrays)"

Your Benefits and Advantages:

• You receive knowledge from a PhD. in Computer science (machine learning) with over 10 years of teaching and research experience, In addition to 15 years of programming experience and another decade of experience in using MATLAB
• The instructor has 6 courses on Simpliv on MATLAB including a best seller course. 
• The overall rating in these courses are (4.5/5)
• If you do not find the course useful, you are covered with 30 day money back guarantee, full refund, no questions asked!
• You have lifetime access to the course
• You have instant and free access to any updates i add to the course
• You have access to all Questions and discussions initiated by other students
• You will receive my support regarding any issues related to the course

Check out the curriculum and Freely available lectures for a quick insight.

It's time to take Action!

Click the "Take This Course" button at the top right now!

Time is limited and Every second of every day is valuable.

I am excited to see you in the course!

Best Regrads,

Dr. Nouman Azam

Who is the target audience?

• Researchers, Entrepreneurs, Instructors and Teachers, College Students, Engineers, Programmers and Simulators

Basic knowledge

• Just basic high level math

What you will learn

• Use machines learning algorithms confidently in MALTAB
• Build classification learning models and customize them based on the datasets
• Compare the performance of diffferent classification algorithms
• Learn the intuition behind classification algorithms
• Create automatically generated reports for sharing your analysis results with friends and colleague

Course details

The First segment of the course is on creating apps in MATLAB using its graphical user interface utility called GUIDE. The GUIDE provides essential graphical components for converting your code into a meaningful software. The graphical components include radio buttons, tables, check boxes, sliders and many others.

The main motivation for adding this segment is the observation that students and people put alot of effort in writing the code but little on its appearance. By completing this segment of creating apps in GUIDE, you will easily transform your code into a well understood piece of software that the users will find useful to interact with. The segment contains 2+ hours of recorded lectures. Every lecture contains a demonstration of the concepts and the codes are included with the course.

The following is the outline of the course

• Segment 1: Basics of the GUIDE
• Segment 2: Linking the Code with GUI
• Segment 3: Advance Techniques for GUIDE
• Segment 4: Sample Projects with GUIDE
• Segment 5: More Useful Tricks and Examples with GUIDE

At the end of this segment,

• You should be able to work with graphical user interface controls such as text boxes, buttons, check boxes and others to make GUI for your code
• You are a confident user of the MATLAB utility called GUIDE for making GUI for your programs
• You will be able to create your GUI's. If you have any problem I will help you
• You will get complete source codes of lectures

The Second segment of the course is on creating apps in MATLAB using its graphical user interface utility called App Designer. The App Designer is next generation tool for creating and designing apps in MATLAB. The App Designer contains many new design components that are absent in the conventional app designing tool called GUIDE. The essential beauty of App Designer is the integration of the two task of coding and designing in creating apps. It makes this possible with its new editor. This segment is designed so that a MATLAB programmer can easily transform his code to a beautiful User Interface and app.

The following are the outlines of the segment

• Segment 1: Basics of App Designer
• Segment 2: Tips and Tricks for Effective use of App Designer
• Segment 3: Coding GUI's
• Segment 4: Advance Techniques
• Segment 5: Sample Projects with App Designer

At the end of this segment,

You should be able to work with graphical user interface controls such as text boxes, buttons, check boxes and others to make GUI for your code.

• You are a confident user of the MATLAB utility called App Designer for making GUI for your programs
• You will be able to create your GUI's. If you have any problem I will help you
• You will get complete source codes of lectures

What am I going to get from this course?

• At the end of the course you be a confident user of the MATLAB utility called GUIDE and App Designer for making GUI'S and apps for your programs
• You should be able to work with graphical user interface controls such as text boxes, buttons, check boxes and others to make GUI's and apps for your code

What is the target audience?

• Researchers
• Entrepreneurs
• Instructors and Teachers
• College Students
• Engineers
• Programmers
• Simulators

Student Testimonials!

This is the second Simpliv class on Matlab I've taken. Already, a couple important concepts have been discussed that weren't discussed in the previous course. I'm glad the instructor is comparing Matlab to Excel, which is the tool I've been using and have been frustrated with. This course is a little more advanced than the previous course I took. As an engineer, I'm delighted it covers complex numbers, derivatives, and integrals. I'm also glad it covers the GUI creation. None of those topics were covered in the more basic introduction I first took.

Jeff Philips

Great information and not talking too much, basically he is very concise and so you cover a good amount of content quickly and without getting fed up!

Oamar Kanji

The course is amazing and covers so much. I love the updates. Course delivers more then advertised. Thank you!

Josh Nicassio

Student Testimonials! who are also instructors in the MATLAB category

"Concepts are explained very well, Keep it up Sir...!!!"

Engineer Muhammad Absar Ul Haq instructor of course "Matlab keystone skills for Mathematics (Matrices & Arrays)"

Your Benefits and Advantages:

• You receive knowledge from a Ph.D. in Computer science with over 10 years of teaching and 15 years of programming experience and another decade of experience in using MATLAB
• The instructor has 6 courses on Simpliv on MATLAB including a best seller course. 
• The overall rating in these courses are (4.5/5)
• This course include 
• One complete portion on creating apps in MATLAB Guide
• One complete portion on creating apps in MATLAB App Designer
• If you do not find the course useful, you are covered with 30 day money back guarantee, full refund, no questions asked!
• You have lifetime access to the course
• You have instant and free access to any updates i add to the course
• You have access to all Questions and discussions initiated by other students
• You will receive my support regarding any issues related to the course

Check out the curriculum and Freely available lectures for a quick insight

It's time to take Action!

Click the "Add to Cart" button at the top right now!

Time is limited and Every second of every day is valuable.

I am excited to see you in the course!

Best Regards,

Dr. Nouman Azam

Who is the target audience?

• Researchers
• Entrepreneurs
• Instructors
• College Students
• Engineers
• Programmers
• Simulators who wants to quickly create front ends for their users to run their code and projects

Basic knowledge

• Although i will try to convey the concepts at the very basic level, an understanding of the following will be beneficial
• General MATLAB programming understanding of the concepts
• Students should have installed MATLAB on their computers

What you will learn

• You will able to create apps with MATLAB graphical user interfaces using utility called guide and App designer
• You can turn your existing code into meaningful software
• You can use all the graphical components necessary to make graphical user interfaces

Course details

MATLAB (matrix laboratory) is a multi-paradigm numerical computing environment and fourth-generation programming language which is frequently being used by engineering and science students. In this course, we will start learning MATLAB from a beginner level, and will gradually move into more technical and advance topics. This course is designed to be general in scope which means that it will be beneficial to students in any major. Once, passed a certain learning thresholds, you will definitely enjoy MATLAB Programming. The key benefit of MATLAB is that it makes the programming available to everyone and is very fast to turn ideas into working products compared to some of the conventional programming languages such as Java, C, C++, visual basic and others.

Below is the detailed outline of this course.

• Segment 1: Instructor and Course Introduction
• Segment 2: Handling variables and Creating Scripts
• Segment 3: Doing Basic Maths in MATLAB
• Segment 4: Operations on Matrices
• Segment 5: Advance Math Functions with Symbolic Data Type
• Segment 6: Interacting with MATLAB and Graphics
• Segment 7: Importing Data into MATLAB
• Segment 8: File Handling and Text Processing
• Segment 9: MATLAB Programming
• Segment 10: Sharing Your MATLAB Results
• Segment 11: Cell Data Type
• Segment 12: Tables and Time Tables
• Segment 13: Working with Structures and Map Container Data Type
• Segment 14: Converting between Different Data Types

Your Benefits and Advantages:

• If you do not find the course useful, you are covered with 30 day money back guarantee, full refund, no questions asked!
• You will be sure of receiving quality contents since the instructors has already four courses in the MATLAB niche which are ranked in the top 10 courses in the MATLAB niche
• You have lifetime access to the course
• You have instant and free access to any updates i add to the course
• You have access to all Questions and discussions initiated by other students
• You will receive my support regarding any issues related to the course
• Check out the curriculum and Freely available lectures for a quick insight

It's time to take Action!

Click the "Add to Cart" button at the top right now!

Time is limited and Every second of every day is valuable.

We are excited to see you in the course!

Best Regrads,

Dr. Nouman Azam

More Benefits and Advantages: 

• You receive knowledge from an experienced instructor (Dr. Nouman Azam) who is the creator of five courses on Simpliv in the MATLAB niche. 
• The titles of these courses are 
• MATLAB from A to Z: From Programming to App Desiging
• Data Analysis with MATLAB for EXCEL Users.
• MATLAB App Desigining: The Ultimate Guide for MATLAB Apps
• Create Apps in MATLAB with App Designer (Codes Included)
• Advance MATLAB Data Types and Data Structures
• You find majority of these courses on the first page in the MATLAB niche

Student Testimonials for Dr. Nouman Azam!

This is the second Simpliv class on Matlab I've taken. Already, a couple important concepts have been discussed that weren't discussed in the previous course. I'm glad the instructor is comparing Matlab to Excel, which is the tool I've been using and have been frustrated with. This course is a little more advanced than the previous course I took. As an engineer, I'm delighted it covers complex numbers, derivatives, and integrals. I'm also glad it covers the GUI creation. None of those topics were covered in the more basic introduction I first took.

Jeff Philips

Great information and not talking too much, basically he is very concise and so you cover a good amount of content quickly and without getting fed up!

Oamar Kanji

The course is amazing and covers so much. I love the updates. Course delivers more then advertised. Thank you!

Josh Nicassio

Student Testimonials! who are also instructors in the MATLAB category

"Concepts are explained very well, Keep it up Sir...!!!"

Engr Muhammad Absar Ul Haq instructor of course "Matlab keystone skills for Mathematics (Matrices & Arrays)"

Who is the target audience?

• Researchers, Entrepreneurs, Instructors, College Students, Engineers, Programmers, Simulators who wants to quickly create front ends for their users to run their code and projects

Basic knowledge

• The students must install MATLAB on their computers
• The course is self explainatory and do not need any prior knowledge of MATLAB

What you will learn

• You are able to confidently use MATLAB for problem solving
• You are able to run scripts, write code and do data analysis and visualization
• You are able to solve equations, do math operations and manipulate matrices in different ways
• You are able to formulate your own logic and convert complex problems into MATLAB code and solve them using programming skills

Course details

Basic Course Description 

MATLAB (matrix laboratory) is a multi-paradigm numerical computing environment and fourth-generation programming language which is frequenlty being used by engineering and science students. While teaching to students and observing different MATLAB related courses on Simpliv for more than six months now. I realized that there is a need for a course which should cover the key data types such as Cells, tables, time tables, structures and Map containers which should provide the students with the essential skills for taking full advantage of MATLAB strengths in data analysis and programming.

In this course we not only cover these data Types but also demonstrates different functions and operation and their conversions to make analysis and programming a greater experience.

The following are the outlines of this course.

• Segment 1: introduction to the Course
• Segment 2: Cell Data Type
• Segment 3: Table Data Type
• Segment 4: Time Table Data Type
• Segment 5: Structures
• Segment 6: Map Containers
• Segment 7: Conversion between Different Data Types

Your Benefits and Advantages

• You receive knowledge from a Ph.D. in Computer science with over 10 years of teaching and 15 years of programming experience and another decade of experience in using MATLAB
• The instructor has 6 courses on simpliv on MATLAB including a best seller course
• The overall rating in these courses are (4.5/5)
• If you do not find the course useful, you are covered with 30 day money back guarantee, full refund, no questions asked!
• You have lifetime access to the course
• You have instant and free access to any updates i add to the course
• You have access to all Questions and discussions initiated by other students
• You will receive my support regarding any issues related to the course
• Check out the curriculum and Freely available lectures for a quick insight

Student Testimonials!

This is the second Simpliv class on Matlab I've taken. Already, a couple important concepts have been discussed that weren't discussed in the previous course. I'm glad the instructor is comparing Matlab to Excel, which is the tool I've been using and have been frustrated with. This course is a little more advanced than the previous course I took. As an engineer, I'm delighted it covers complex numbers, derivatives, and integrals. I'm also glad it covers the GUI creation. None of those topics were covered in the more basic introduction I first took.

Jeff Philips

Great information and not talking too much, basically he is very concise and so you cover a good amount of content quickly and without getting fed up!

Oamar Kanji

The course is amazing and covers so much. I love the updates. Course delivers more then advertised. Thank you!

Josh Nicassio

Student Testimonials! who are also instructors in the MATLAB category

"Concepts are explained very well, Keep it up Sir...!!!"

Engr Muhammad Absar Ul Haq instructor of course "Matlab keystone skills for Mathematics (Matrices & Arrays)"

It's time to take Action!

Click the "Add to Cart" button at the top right now!

Time is limited and Every second of every day is valuable.

I am excited to see you in the course!

Best Regrads,

Dr. Nouman Azam

Who is the target audience?

• Researchers, Entrepreneurs, Instructors, College Students, Engineers, Programmers, Simulators

Basic knowledge

• General know how of MATLAB programming

What you will learn

• The essential and unique MATLAB data types necessary for MATLAB programming and data analysis
• At the end you can confidently use different data types and structures such as Cells, Tables, Time Tables, Structures and Map Containers
• You will be able to convert between different data types

Course details

This course will teach you how to maximize your potential using the Unity editor. By using the techniques taught in this course, you will speed up your development time and customize your Unity workflow. You will learn how to make Unity user friendly to your preferences, techniques, and workflows.

First, we will look at some built-in options Unity gives developers for customizing the editor. We will learn how to customize window layout, console output, and more. Next, we will look at how to use editor scripting to our advantage. Unity allows us to customize and extend the functionality of the editor by writing C# code. The final topic we will look at is customizing the inspector. This will give us the ability to edit and modify our game objects in the scene.

By the end of this course you will have a well-rounded knowledge of how to customize each of these areas of Unity. The result will be a more efficient and effective development process allowing you to get more quality work done in less time.

This course also comes with a PDF review sheet that you can print out covering all of the major terms and functions taught in this course and screenshot examples of using each in Unity.

Who is the target audience?

• Anyone who wants to take their Unity C# skills up a level
• Developers who are interested in making tools for the Unity Asset Store but don't know where to start
• Students who want to obtain a game industry job as a Unity Developer

Basic knowledge

• Some basic Unity experience in C#

What you will learn

• Learn how to make tools in Unity
• Take full advantage of the power of Unity
• Speed up your development process
• Understand how asset store tools are created
• Get knowledge of industry-standard techniques

Course details

Have you ever said to yourself: "I'd like to learn programming, but where should I start?” 

There are an overwhelming number of options that are available to those who want to learn. Introduction to Programming is designed to give you the foundation skills that will prove important for any type of programming you want to do. You’ll learn to code web pages, create a mobile application and use external data sources. (Mobile covered in Level II of the course)

This course, which includes video lectures, lab exercises, and full program code will prepare your for entry level jobs in development-- or simply make you comfortable with code and confident in more advanced study.

As you build a portfolio of skills, you’ll also build a portfolio of completed projects that can be used to demonstrate your new skill sets.

In Level I of the course we focus on foundations-- The things that all developers need to know to be successful. With each passing chapter of the course you'll learn new skills and demonstrate them in a lab exercise.

Technologies

This program will introduce participants to all of the following technologies:

• HTML5 and CSS: Construct the visual aspects of web sites and mobile applications with this language pair
• Python: You’ll learn the basics of coding and programming logic using the Python programming language

In Level II of the course we'll look at mobile technologies,Javascript, jQuery and SQL.

We Created Introduction to Programming For You

If you've been considering learning to code-- or have tried before and it didn't quite take-- then this course is for you. We're not teaching a random programming language, but, instead, laying a professional foundation with the skills today's programmers need to know.

A mix of lecture and activity, this course is designed not just to expose you to important topics for new coders, but to help you retain the information and immediately put it to use.

Comprehensive and Efficient

Introduction to Programming is designed to provide a comprehensive introduction to the programming field. However, we know you're busy and don't spend time on unnecessary theory and background. You'll complete the course in just a few weeks worth of evenings-- however the lessons will stay with you through out your programming career.

Projects

You'll learn by doing in the Introduction to Programming program. This course includes multiple projects to help you understand and remember what you're learning. Here's just a few of the projects you'll complete:

Restaurant Review Web Site: Post your favorite restaurant reviews on your own site

MP3 Player: Play your favorite music

Responsive Design Web Site: Make a web site work across multiple sized screens

Interest Calculator: Figure out how long it will take you to get rich

Magic 8 Ball: Make those truly important decisions

Web Services Project: Get data from an external source-- They key to many apps

Over 500,000 Students LearnToProgram

You'll be among our community of over 500,000 students who've learned programming from one of our LearnToProgram courses. With over 250,000 students online, we've learned a few things about teaching people-- And those lessons are injected in to Introduction to Programming.

We're looking forward to seeing you in class!

Who is the target audience?

• Beginners who want to learn to code
• Teachers and Students
• People at the Beginning of Their Coding Career

Basic knowledge

• Windows or Mac
• Web Browser (Free)
• Python Software (Free)
• Text Editor (Free)

What you will learn

• What is HTML5?
• How to Display HTML5 Code in a Browser
• The Tool to Use for Coding
• How HTML5 Documents are Structured
• Displaying Paragraph Text with HTMl5
• Displaying Heading Text with HTML5
• Displaying Lists
• What is CSS and How is it used?
• How to Apply CSS Styles
• Adjusting Font and Font Size
• How to Style Lists with CSS
• How to Use Classes and ID's
• Creating Internal and External Hyperlinks
• Displaying Images on a Page
• Playing Audio on a Page
• Playing Video on a Page
• How to Assemble and Code an MP3 Player
• Understand Basic Table Structure
• Understand Complex Table Structures
• Design a Table with CSs
• Obtain User Input
• Create Online Forms
• Accept Information in the Form of Numbers, Dates and Colors
• Create Form Dropdowns
• Create Submit and Reset Buttons for a Form
• Create Generic Buttons
• Create Radio Buttons and Check Boxes
• Style Forms with CSS
• Use the CSS Box Model
• Understand How to Create Borders, Background and Margins
• Understand Static, Fixed, Relative and Absolute Positioning Models
• Create Floating Elements
• Understand Responsive Design
• Apply Responsive Design for Mobile
• Use a Responsive Design Framework
• Write a Procedural Program in Python
• Run Python Command LIne Code
• Obtain Command Line Input in Python
• Output Strings with Print
• Output Expressions with Print
• Create Variables
• Use Input Statements
• Understand Programmatic Decision Making
• Use Simple and Complex If Statements
• Create While Loops
• Create For Loops
• Create Break and Continue Statements
• Understand the Role of Functions in Coding
• Create Parameterized Functions
• Create Functions that Return Values
• Create List Structures
• Create a Dictionary Data Structure
• Understand File Input/Output
• Write to a File
• Read in From a File
• Work with CSV (Comma Separated Value) Data
• Work with Dates in Python
• Work with Regular Expressions in Python
• Complete Basic Networking in Python
• Download and Parse XML

Course details

UNIX, Linux, and their variants are wonderful operating systems, with great capabilities of doing data processing. But they are often ignored when people think about solving data problems, or in general, Data Science. This short course provides a hands-on approach to using UNIX/Linux for solving various data problems from sorting and searching to extracting and manipulating information. And all of these without writing any code! That's right. With just a few commands of UNIX, and appropriate combinations of them, one could solve many data problems within seconds without writing thousands of lines or code or spending hours and days.

Basic knowledge

• This course is for beginners, but it helps to have some basic understanding of operating systems (e.g., finding and launching programs, installing and configuring apps), as well as some basic knowledge of any programming. The course also assumes that you have a way to connect to a UNIX/Linux system. Alternatively, you could install a free utility on your computer that enables you to work on a UNIX-like environment (not needed for a Mac or a Linux desktop)

What you will learn

• Remotely logging into a UNIX/Linux machine
• File transfer to a remote machine
• A basic understanding of some of the common tools useful for doing programming
• Several basic UNIX commands and utilities
• Solving several kinds of data problems using UNIX

Course details

The course provides an overview of Blockchain technology including its history, evolution and the future. Students learn about bitcoin, which is powered by blockchain technology, bitcoin mining, and other blockchain platforms like Ethereum, Hyperledger and Multichain.

Who is the target audience?

Anyone aspiring to learn new technology or having an interest in pursuing a career in Blockchain technology can take this the course. This course caters to students and professionals from all background including, but not limited to, technology, management, finance, etc.

Basic knowledge:

 There are no pre-requisites for this course, however, a basic understanding of object-oriented programming would be helpful.

Curriculam

Course Objective

• Introduction   
• Blockchain   
• Bitcoin   
• Mining   
• Ethereum Basics   
• Smart Contracts & Solidity   
• Hyperledger Basics   
• Chaincode and Composer   
• Multichain Basics   
• Blockchain Industry Applications and Job Prospects   

New Batch starts from 04th Feb to 15th Feb 2019 Days: Mon-Fri (10 Days) 09:30 AM - 12:30 PM (IST)

2nd Batch starts from 09th Feb to 09th Mar.2019 Days: SAT-SUN(5WKs) 10:30AM to 01:30PM (IST)

Course details

Simpliv’s Blockchain Online Course will provide an overview of the structure and mechanism of Bitcoin, Ethereum, Hyperledger and Multichain Blockchain platforms. You will learn to setup your own private Blockchain and deploy smart contracts on Ethereum. You’ll learn the use the latest tools to build Blockchain applications, set up your own private Blockchain, deploy smart contracts on Ethereum and gain practical experience with real-world projects.

Who is the target audience?

 Students and Professionals aspiring to make a career in the Blockchain technology.

Basic knowledge:

 Anyone with a technical background and fair understanding of programming concepts can take this course. There are no prerequisites for this course.

Curriculam

Course Index

• Cryptocurrencies and Blockchain   
• Bitcoin and Blockchain   
• Ethereum   
• Solidity   
• Overview of Web3.JS   
• Creating DApps   
• Hyperledger   
• Multichain   
• Prospects of Blockchain and Use Cases   

New Batch starts from 04th FEB, 2019 Days: Mon-Fri (15 Days) 08:00 PM - 10:00 PM (IST)

Course details

Data science doesn’t need to be the complex subject it is thought to be. Not with Simpliv, for sure. Understand when to use the right tools, how to connect to the right data source, how to connect Tableau Desktop with R to optimize the functions of R, packages, libraries and saved models. Also learn to use Python scripts for your fields in Tableau in the same way as you do with R. Ideal for becoming a complete data professional.

Who is the target audience?

 All the professionals who are passionate about business intelligence, data visualization, and data analytics.

Basic knowledge:

 There are no prerequisites for taking up this certification training course.

Curriculam

Visualization with Tableau

• Tableau - An Introduction   
• Aggregation and Granularity   
• Action Filters and Action Highlights   
• Customer Segmentation Dashboard   
• Data Blending   
• Find top 10 Gems   
• Table Calculations (Explaining various Table calculations )   
• Difference between Table calculations and Calculated fields  
• LOD Functions   
• How to connect to databases (Video based)   
• How to integrate Tableau with R (Video based)   
• Dashboarding Techniques   
• Other Charts   

Python and R basics

• Tableau - An Introduction   
• Core programming concepts   
• Objects in Python   
• Visualizations in Python  
• Packages in Python   
• Packages in Python   
• Matrix Operations  
• Dataframes   
• Introduction to R   
• Objects in R   
• Core programming concepts   
• Visualizations in R (Packages in R)   
• Matrix Operations  
• Dataframes   
• Lists in R  
• Apply family functions in R  
• Projects and Tests 

New Batch starts from 21st Jan 2019 Days: Mon-Fri (15 Days) 07:00 PM - 10:00 PM (IST)

Course details

Version control is an essential skill for developers to master, and Git is by far the most popular version control system on the web. Our Expert trainer will show you how to install Git and use the fundamental commands you need to work with Git projects: moving files, managing logs, and working with branches. Plus, you'll learn how to work with the popular GitHub website to explore existing projects, clone them to your local hard drive, and use them as templates for your new projects.

Who is the target audience?

Programmers, Developers, Technical Leads, Architects, Freshers,Data Scientists, Data Analysts,Business Intelligence Managers.

Basic knowledge:

 A person attending this training should have good knowledge of the Windows basic Command line. Knowledge of Selenium Automation would be an added advantage (Sample projects will be used).

Curriculam:

Module 1

• What is Version Control system
• Benefits of Version control system
• Types of VCS   
• Distributed Version Control System

Module 2

• What is Git   
• What is GitHub   
• Distributed Version Control System Terminologies
• Installation and Configuration of Git

Module 3

• Hands-on with Git and GitHub   

Event Type - Online Classroom Training

Course details

Learn to use Python, the ideal programming language for Machine Learning, with this comprehensive course from Simpliv. Gain expertise in core areas of Python and Machine Learning, such as algorithms, model evaluation, supervised vs. unsupervised learning, reinforcement learning, neural networks, k-nearest Neighbor Classifier, Naive Bayes Classifier, and lots more. Become a complete Machine Learning and Python pro. Our experts will show you how to use your knowledge of Python to learn to use it for Machine Learning. All you need is basic knowledge of Python. Our course will take it up from there and make you an expert.

Who is the target audience?

 Programmers, Developers, Technical Leads, Architects, Freshers,Data Scientists, Data Analysts,Business Intelligence Managers.

Basic knowledge:

 There are no hard pre-requisites. However, basic understanding of Computer Programming terminologies is beneficial.

Curriculam

Python Introduction

• Introduction to Python   
• Core programming concepts   
• Objects in Python   
• Visualizations in Python  
• Packages in Python   
• Matrix operations  
• Dataframes

Machine Learning

• Data Pre-processing   
• Regression   
• Classification   
• Clustering   
• Association Rule   
• Natural Language Processing 

New Batch starts from 2nd Mar. 2019 Days: SAT-SUN (8-Wks) 07:00 AM - 09:00 AM (IST)

Course details

Passionate about Python programming? The Information Technology world is waiting for you. This wonderfully flexible, object-oriented language is best learnt when it is learnt with examples. Simpliv offers tons of examples to help you understand the concepts and learn how to implement them in real life to integrate systems. Our course offers you knowledge of how to put Python to the highest use it is capable of being put to: web development, GUI, software development, system admin, and what not. Ideal for anyone who wants to put Python to its optimal use..

Who is the target audience?

 Programmers, Developers, Technical Leads, Architects, Freshers,Data Scientists, Data Analysts,Business Intelligence Managers.

Basic knowledge:

You don’t need any specific knowledge to learn Python. A basic knowledge of programming can help.

Curriculam

Python Basics

• Introduction to Python   
• Core programming concepts   
• Objects in Python   
• Visualizations in Python   
• Packages in Python   
• Matrix operations  
• Dataframes  

New Batch starts from 25th Feb 2019 Days: Mon-Fri (10 Days) 07:00 PM - 10:00 PM (IST)

Course details

This course enables you to master the complete Selenium 3.0 suite. It helps you gain an in-depth knowledge of concepts such as Selenium WebDriver, Web Elements Locating Techniques, Page Object Design Pattern, Framework designing. This course is designed keeping in mind the need of the various IT MNC and startups who are always looking for testing experts who have good knowledge on various aspects of Software Quality Assurance or Software Testing which is the most crucial part for the success of any project.

Who is the target audience?

Manual testers, Test Managers, Test Engineers, Software Developers, Engineers who want to learn Automation testing

Basic knowledge:

A person attending this training should have good knowledge of the following things:

 Conceptual understanding of Manual Testing – what is testing? types of Testing? how to write test cases? And many more.

 Basic Knowledge of Java and its object-oriented programming – if else statements, loops, etc.

 Basic knowledge of Automation Testing would be added advantage.

Curriculam

Module 1

• What is Selenium?  
• Generations of Selenium?  
• An overview of components of Selenium Suite?   
• Configuration and installation of Software’s   

Module 2

• Understanding the basics of Webdriver and Java Commands   
• Introduction to Web Elements  
• Locator Technique   

Module 3

• What is validation  
• Examples on validating - title, elements, error messages  
• Handling Dynamic Web Elements  
• Introduction to Synchronization / Wait commands and its types   
• Fluent wait  

Module 4

• Introduction to iframe (Inline Frame)  
• Using iFrame – index, name, id, web element etc  
• Handling Dynamic Web Elements  
• Understanding the use of Switch to commands   
• Understanding advance selenium commands

Module 5

• What is TestNG  
• Advantages & Disadvantages  
• Steps to write a TestNG automation Scrips  
• What are reports in TestNG  
• What are reports in TestNG  
• Annotations, Hierarchy of Annotations  
• What is XML, Writing XML for TestNG  
• Executing various concepts of TestNG   
• Xml based execution for executing suite
• Capture Screenshots

Module 6

• Using Selenium and TestNG it in Page Object Model  
• What is POM
• Need for POM
• Introduction to page class
• Implementing POM with an example

Module 7

• What is Framework  
• Types of Framework
• Apache POI overview
• Importing and exporting data to excel in Webdriver
• Data Driven Framework - With Example
• Keyword Driven Framework - With Example

Event Type - Online Classroom Training

New Batch starts from 04th Feb 2019 Mon-Fri (13 Days) 07:00 AM - 09:00 AM (IST)

Course details

Want to learn all the elements of Tableau Desktop 10? You have come to the right place. Simpliv’s Tableau Certification Training will familiarize you with everything about Tableau, including visualizing, data organization and dashboard designing. Our course will ensure that you also don’t get left out of other concepts of Tableau, such as mapping, data connection and statistics. Ideal for system administrators, business intelligence professionals and software developers, Simpliv is all geared to put you on the road to Tableau Desktop 10 Qualified Associate certification.

Who is the target audience?

 All the professionals who are passionate about business intelligence, data visualization, and data analytics.

Basic knowledge:

 There are no prerequisites for taking up this certification training course.

Curriculam

Visualization with Tableau

• Tableau - An Introduction   
• Aggregation and Granularity   
• Action Filters and Action Highlights   
• Customer Segmentation Dashboard   
• Data Blending   
• Find top 10 Gems   
• Table Calculations (Explaining various Table calculations )   
• Difference between Table calculations and Calculated fields  
• LOD Functions   
• How to connect to databases (Video based)   
• How to integrate Tableau with R (Video based)   
• Dashboarding Techniques   
• Other Charts   
• Tableau Server   
• Interview Preparation   
• Certification Preparation (Optional)  

New Batch starts from 11th Feb 2019 Days: Mon-Fri (10 Days) 07:00 PM - 10:00 PM (IST)

Course details

About this Course

Ruby on Rails can seem overwhelming at first, but it doesn’t have to be! In this course I’ll walk you through it step by step and you’ll be building your first web app in MINUTES. You’ll be amazed how quick and easy it is to create very professional looking websites,

even if you have no programming or web design experience at all.

Watch over my shoulder as I build a cool Stock Market app step by step right in front of you. You’ll follow along and build your own copy. By the time we’re finished, you’ll have a solid understanding of Ruby on Rails and how to use it to build awesome web apps.

The course contains 42 videos – and is just over 3 hours long. Watch the videos at your own pace, and post questions along the way if you get stuck. You don’t need any special knowledge or software to take this course, though any experience with HTML or CSS is a plus. You don’t even need to know the Ruby programming language. I’ll walk you through EVERYTHING.

Ruby on Rails is a great web development tool and learning it has never been this easy.

What We'll Build...

• We'll build a cool Stock Market app that let's you look up stock quotes and financial information and save it to a database.
• Users can create an account and sign up to your website, log in, add stocks, check stock prices and all kinds of other cool financial information.  
• We'll style the website using the popular Bootstrap CSS framework (I'll show you how to use it!)
• Sign up today and I'll see you on the inside!

Basic knowledge

• You just need a computer with Internet access, and nothing else

What you will learn

• Build Web Apps With Ruby On Rails
• Build Your Own Stock Market Website
• Understand the Bootstrap CSS Framework
• Use Databases with Ruby on Rails

Course details

About this Course

WordPress is well known for its content management capabilities, plugins, themes, and has great use in online marketing.

In fact it is the #1 platform in the world for setting up blogs and sites.

However, Is is often overlooked that with the right combination of plugins, WordPress can be used for other tasks as well, including "offline" businesses, and workflow automation.

This course takes you, the student, from having no WordPress site at all to owning a fully automated forms, and workflow approval system. 

By the end of the course you will have a working WordPress site, you'll know how to setup forms and email notifications and, how to automatically process and approve requests.

By the time you complete this course you should have at least 3 workflows automated!

Basic knowledge

Are there any prerequisites?

There is only one - You need to own, or to be able to purchase a single site license for Gravity Forms plugin ($39), in order to complete the course.

• If you don't already own a WordPress site - Don't worry, This course shows how to setup one in less than 10 minutes
• If you don't know how to write code - Don't worry you can complete this course without writing a single line of code!

Course materials includes form resource files, to help you complete course objectives and interactive practice sessions so you can implement what you have learned.

What you will learn

What's the course about?

• The course is about forms and workflows automation with WordPress

What does it mean?

• It means that by the end of this course you'll learn how to turn any WordPress site into an automation system for forms and approval workflows

What can you use it for?

• Anything from job application forms and vacation approvals to daily checklists and change management
• You are only limited by your imagination!

Why did I make this course?

• Simple - I am using the same techniques myself on a daily basis with my team
• They are cost-effective, they work, and I love sharing my experience and knowledge with others

Who should enroll?

• This course is targeted to anyone who is looking to add automation to his daily "office" tasks without spending a lot of money on workflows and approval tools

Course details

About this Course

In this course you will learn how to set up a Nagios 4 server on both Red Hat based and Ubuntu based Linux servers. For Red Hat and CentOS you will learn to install from both source and from packages. With Ubuntu you will learn how to install from source (there are no packages available for Nagios 4 for Debian based systems).

You will also learn how to connect your Nagios server to both Linux and Windows servers for basic monitoring.

Basic knowledge

• You should have a solid understanding of the basics of Linux and Windows server administration. You should also have a basic understanding of networking and opening ports in firewalls if needed on your network.

What you will learn

• You will learn to install Nagios 4 monitoring server on both RedHat/Centos Linux and Debian/Ubuntu based systems. You will learn the basics of setting up monitoring of remote Linux and Windows servers. Once you complete the course you will have a monitoring console that will show health of multiple remote servers.

Course details

About this Course

12+ Hours of Video Instruction

CCNP Routing and Switching ROUTE 300-101 Complete Video Course is a comprehensive training course that brings Cisco CCNP R&S ROUTE exam topics to life through the use of real-world demonstrations, animations, live instruction, and configurations, making learning these foundational networking topics easy and fun.

Best-selling author, expert instructor, and double CCIE Kevin Wallace walks you through the full range of topics on the CCNP Routing and Switching ROUTE 300-101 exam, including fundamental routing concepts; IGP routing protocols, including RIPng, EIGRP, and OSPF; route distribution and selection; BGP; IPv6 Internet connectivity; router security; and routing protocol authentication. This unique product contains multiple types of video presentations, including live instructor whiteboarding, real world demonstrations, animations of network activity, dynamic KeyNote presentations, doodle videos, and hands-on router and switch CLI configuration and troubleshooting in real lab environments, allowing you to both learn the concepts and the hands-on application.

The 149 videos contained in this product provide you more than 12 hours of instruction. Modules are divided into easy to digest lessons and conclude with summaries and interactive module and glossary quizzes to help assess your knowledge. In addition to the review quizzes, the product also contains interactive exercises to help you truly learn the topics in each module. The product concludes with a series of lessons that give you valuable advice to help prepare for the actual exam.

Designed to take you inside CCNP routing concepts in a unique and interactive way, CCNP Routing and Switching ROUTE 300-101 Complete Video Course is guaranteed to help you master the foundational networking topics that will help you succeed on the exam and on the job.

Who Should Take This Course?

• Anyone interested in obtaining their CCNP Routing and Switching certification or anyone interested in learning fundamental routing concepts and configuration skills

Basic knowledge

Course Requirements

• While this complete video training product does not assume any prior knowledge of network administration or configuration, you should understand the fundamental purposes of a network and be comfortable working with a computer

What you will learn

• Characteristics of routing protocols, including traffic and network types, IGP and EGP comparison, categories of routing protocols, convergence times, route summarization, scalability and Cisco easy virtual networking theory
• Remote site connectivity, including GRE tunnel theory and configuration, DMVPN, multipoint GRE , next-hop resolution protocol, and IPsec
• RIPng fundamentals, configuration, and verification
• EIGRP fundamental and advanced concepts and EIGRP IPv6 and named EIGRP configuration
• OSPF fundamental and advanced concepts, the OSPF link-state database, and OSPFv3 configuration
• Route redistribution including seed metrics, redistribution of IPv4 and IPv6 routes into EIGRP and OSPF, manual route redistribution, distribution list configuration with ACLs and prefix lists, route maps, and administrative distance manipulation
• Route selection including packet switching architecture, CEF configuration and verification, policy-based routing fundamentals and configuration, and Cisco IP SLA fundamentals and configuration
• Internet connectivity with BGP and advanced BGP concepts
• IPv6 Internet connectivity including provider assignment of IPv6 addresses, IPv6 static address and default route, traffic filtering, route filtering, and IPv6 over IPv4 and IPV6 BGP sessions.
• Router and routing security

Course details

About this Course

Welcome to Ethical Hacking Course ! In this course, you will start as a beginner and leave the course with an expert . The course purely focused on Practicals.

Course is divided in 2 parts: -

• 1. Network Pentesting 
• 2. Web Pentesting

The course is structured in a way that will take you through the basics of computer systems, networks and how devices communicate with each other. We will start by talking about how we can exploit these systems to carry out a number of powerful attacks. This course will take you from a beginner to a more advanced level - by the time you finish, you will have knowledge about most penetration testing fields.

Network Penetration Testing - In this section you will learn major and minor attacks on networks .it can be divided in 3 sections : -

• Pre-connection: in this section, we still don't know much about penetration testing - all we have is a computer with a wireless card. You will learn how gather information about the networks and computers around you and launch a number of attacks without a password, such as controlling the connections around you (ie: deny/allow any device from connecting to any network). You will also learn how to create a fake access point, attract users to connect to it and capture any important information they enter
• Gaining Access: Now that you have gathered information about the networks around you and found your target, you will learn how to crack the key and gain access to your target network. In this section you will learn a number of methods to crack WEP/WPA/WPA2 encryption
• Post Connection: Now you have the key to your target network and you can connect to it. In this section you will learn a number of powerful attacks that can be launched against the network and connected clients. These attacks will allow you to gain access to any account accessed by any device connected to your network and read all the traffic used by these devices (images, videos, audio, passwords ...etc)
• Gaining Access - In this section you will learn how to gain full control over any computer system
• Server Side Attacks: In this approach you will learn how to gain full access to systems without the need for user interaction. You will learn how to gather information about a target computer system such as its operating system, open ports, installed services and discover weaknesses and vulnerabilities. You will also learn how to exploit these weaknesses to gain full control over the target. Finally you will learn how to generate different types of reports for your discoveries
• Client Side Attacks - If the target system does not contain any weaknesses then the only way to gain access to it is by interacting with the user. In this approach you will learn how to launch a number of powerful attacks to fool the target user and get them to install a backdoor on their device. This is done by creating fake updates and serving them to the user or by backdooring downloaded files on the fly. You will also learn how to gather information about the target person and use social engineering to deliver a backdoor to them as an image or any other file type.Post Exploitation - In this section you will learn how to interact with the systems you compromised so far. You’ll learn how to access the file system (read/write/upload/execute), maintain your access, spy on the target and even use the target computer as a pivot to hack other computer systems

Web Application Penetration Testing - In this section you will learn how webistes actually works . you will learn various web application attacks like sql injection attack , xss attack , csrf attack , shell upload attack , buffer overflow attack , local file inclusion attack etc . we have covered all major attacks on web applications. 

Summary

In this course, you will perform test to carry out and exploit hidden vulnerability within your network and systems, not only you will be exposing those but you will also provide ways and methods to fix and secure and hardening your system security preventing it from any other attacks. You will learn how to test your network against various types of attacks & develop a network-testing environment that can be used totest scanning tools and techniques. Employ the methods used by real hackers effectively, to ensure the most effective penetration testing of your network, select and configure the most effective tools from Kali Linux to test network security, employ stealth to avoid detection in the network being tested, recognize when stealthy attacks are being used against your network.Exploit networks and data systems using wired and wireless networks as well as web services. Identify and download valuable data from target systems & learn to maintain access on compromised systems. Use social engineering to compromise the weakest part of the network—the end users. Port scanning for UDP scanning, stealth scanning, connect & zombie scanning using pentesting tools. You will learn how to utilize the arsenal of tools available in Kali Linux to conquer any network environment.By the end of this course you will become a pro with the tools that Kali Linux offers to perform some advanced penetration testing, how to exploit the vulnerable systems and how to patch them.

NOTE: This course is created for educational purposes only .

NOTE: This course is a product of Sunil Gupta and no other organisation is associated with it or a certification exam. Although, you will receive a Course Completion Certification from Simpliv.

Course details

About this Course

Learn How to Provision Internet Access for an Organization. In this course the author will teach students how to apply different types of NAT, the author will gradually build the student knowledge towards how to apply NAT Overload for an organization. The course will teach the student about the communication model - OSI Model, TCP/IP MODEL and IPv4 classes that are used by Internet and Private organizations.

The author will implement topology designs and configure the network topology step by step and verify the results.

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Basic knowledge

• The student should know basic networking concepts, recommended to have already done Subnetting and understands basic routing

What you will learn

• The student will learn how to provision Internet access for any organization practically
• The student will learn how to design and configure different types of NAT
• The student will learn how to apply Static Route, Access-lists and Routemap

Course details

About this Course

In this course, you’ll learn about socket programming. It is the most fundamental and practical knowledge in every IT communications field. It provides an overview of socket communication fundamentals such as UDP, TCP, and its functions. It aims to reduce significant "gotcha" moments the developers may encounter during socket applications development.

Basic knowledge

• Basic programming concepts is required

What you will learn

• The students would understand the concepts of Sockets in C++ and develop their Socket applications in the mode most suitable to their requirements

Course details

About this Course

The correct TCP data handling solution using C++

In C/C++, socket programming is one of the most challenging subjects to every developer. Not only the theory of the socket is quite tricky, and there are a lot of things to learn, but we also need much experience and guidance in various cases.

To parse and handle TCP data is that very case. We can recognize the necessity and make sure the solution is correct, only by experience.

With my 16 yrs experience in developing financial trading platforms with Visual C++, I'm sure that you need to learn and utilize this lecture.

Basic knowledge

• Understanding of socket programming, especially TCP
• Basic knowledge of C/C++

What you will learn

• They would be able to build applications communicating through sockets, in their own network or the Internet

Course details

About this Course

In this course the student will learn important skill of how to filter unwanted routes from the routing tables. This skill will also help the student to keep the routing tables clean in an organization, thus keeping the network safe from malicious injected networks.

          Follow the author as he goes through the steps below

           1. Building Topology to simulate a routing map.

          2. Four cases are created that will show step by step filtering of the routes using Prefix-lists.

Basic knowledge

• CCNA, Cisco Routers 1800, 1900, 2900, GNS AND VIRL SIMULATOR

What you will learn

• The student will learn how to build the topology and filter unwanted networks from the routing tables from the core routers

Course details

About this Course

In this course the author introduces Border Gateway Protocol -BGP , its concepts and clarifies the concepts using practical scenarios with topology configuration. The author shows step by step configuration to implement BGP and complete the configuration during the lesson. The course is very important to anyone who wants to master BGP concept and also get the practical experience that the author has shared in his designs.

Basic knowledge

• CCNA, Cisco Routers 1800, 2600, 2900, VIRL Or GNS simulator

What you will learn

• Student will learn how to manage and administer BGP in the real world

Course details

About this Course

In this course the author explains the facts needed to design and implement route redistribution between different networks running different routing protocols. The author shows different topologies and does step by step configuration and applies route redistribution.

The skill to know how to do route redistribution is very essential for any network engineer at any level, this skill helps the student know how to integrate networks during business acquisitions.

Basic knowledge

• CCENT, CCNA, Cisco routers 1800, 2600, GNS OR VIRL simulator

What you will learn

• The students will learn how to redistribute routes from one network to another network

Course details

About this Course

In this course the viewer will learn step by step Implementation of DMVPN using multiple phases, in this lecture the author will demonstrate the implementation of DMVPN and configuration of DMVPN required for successful connectivity between remote sites. The process of achieving DMVPN using Phase I,II - static and Dynamic tunnels , Phase III using Dynamic Tunnel with IGP routing protocol is included.

The author will design the Topology and complete the configuration step by step.

Basic knowledge

• CCNA, GNS simulator, Cisco Routers 1800, 1900, 2800

What you will learn

• The students will learn how to implement DMVPN between Remote offices

Course details

About this Course

The course contains lectures pertaining to all subjects so that you may pass the Cisco CCNA 200-125 exam. 

Through lectures, students will undergo the process of learning through practice labs and will be able to perform the configuration to real routers and switches with IT professional.

The course will give the good grasp to students with the understanding of core networking concepts such as configuration of routers, switches along with their usage. The course is specifically crafted according to the new syllabus on the Cisco's Official website in order to make you familiarize with the exam topics. 

In Network Fundamentals Section, students will learn about the OSI, TCP/IP models and Protocols, infrastructure components, effects cloud resources in enterprise network architecture, collapsed core tier, three-tier architecture, networking topologies, cabling types, troubleshooting methods, IPv4 addressing, configuration and subnetting along with IPv4 address types, IPv6 addressing and configuration, IPv6 Auto configuration, IPv6 Address Types.

In Lan Switching Technologies Section, students will learn about switching concepts, troubleshooting of cable and interface issues, configuration of VLAN, DTP, VTP, 802.1Q, Native VLAN, PVST+, RPVST+, STP root bridge selection process, PortFast, BPDU guard, CDP, LLDP, and EtherChannel.

In Routing Technologies Section, students will learn about the routing concepts, routing table components, Inter-VLAN routing, IPv4 Static Routing, IPv6 Static routing, OSPFv2, OSPFv3, EIGRP for IPv4, EIGRP for IPv6, and RIPv2.

NOTE: Any simulation software or application is not included, you are required to download and install and configure the Packet Tracer, GNS3 or BOSON to run the labs for practice. For better understanding and Hands-On experience, students are required to create and configure each and every lab from scratch. Secondly, .PKT files are not uploadable on Simpliv. If you have any query, feel free to ask me through Q&A.

It is strongly suggested that you should use Sybex book by Todd Lammle - CCNA 200-120 with this course.

Basic knowledge

• You should have very basic understanding of networking
• All student who enrolled are required to have the simulators i.e. BOSON, GNS3, Cisco Pakcet Tracer etc
• It is recommended that you should also study CCNA 200-120 Guide Book
• You should be motivated enough to keep yourself on track

What you will learn

• They will be able to understand the Associate Level networking concepts
• They will get better understanding of networking fundamentals
• They will be able to get enrollment in other CCNA Tracks i.e. Wireless, Security, CyberOps
• They will be able to get enrollment in CCNP certifications

Course details

About this Course

Cyber threats are one of the most clear and present danger looming over organisation in the current digital world. Cyber security is an area where technology, people, process and control work together hand-in-gloves to thwart any information leak and hence saving organisation from financial and reputational loss. Information security is fundamental to cyber security as it prepares the organisation to defend the breach of information assets. Any organisation’s cyber security programs is a combination of security of IT and telecom infrastructure, application, data and people. This is the data, also called as Information, that is vital for organisation’s survival. Hence, Information security management is of fundamental importance in any cyber security initiative adopted my organisations. 

In the new age of digital economy, organisations are struggling to protect their digital asset also called as Information. The Information security management system a.k.a ISMS is one of the framework for organisations to adopt to become proactive to the internal as well as external threat to information security. The risk of information security breach is far-fetched than the old days phenomenon. These RISKs are not only monetary but also brand image, collapse of a business, property damage etc.

The five axes of digital technology viz. Social, Mobility, Analytics, Cloud and Internet of Everything(IOE) are disrupting the conventional method of doing business. Not adopting these technologies is questioning the basic survivability of organisation. As these technologies are getting adopted, the threat surface for information security breach has multiplied many folds. However, only technology does not lead to a super cyber defense mechanism. As high as, 90% of the information security breach has been attributed to employee or partners and their awareness of information security.

Hence, a good information security management system does not have technology as the only facet, but it has people, process, policy and guidelines as the governing principles with ever evolving strategy tuned to the emerging threat vectors in cyber world.

As a matter of fact, a new employee is required to sign information security non-disclosure and compliance document when they join an organisation. But is that effective? Do organisations see the informal chit-chat among employee a threat? Why can’t they create a work culture where information security become a habit of employees like the personal and family security engrained in their habits.

This course is all about understanding the components of information security management systems. It will bring clarity to technical person about the importance of people, process, policy and controls that governs the information security management in an organisation. This is a must course for all seeking a corporate career and being a good corporate citizen. Also, this is the first step for seeking a career in information security management with a gradual rise to the top position in Information security domain in corporate also called as Chief Information Security Officer(CISO).

This course dissects the information security myth from enterprise architect's point of view with the course name titled ‘Constructs of Information Security Management System’. It systematically builds from information to information security to all elements of ISMS starting with fundamental of information characteristics also called as Confidentiality, Integrity, Availability(CIA). As you know information security is the major building block toward a step toward cyber security, learning ISMS basics is a must for all. 

As a bonus lecture, three lectures has been add for the professionals who wants to understand the Enterprise Security Architecture from a technology deployment perspective. This will help the working professional to decide which all technology elements to be implemented in order to secure the enterprise information and be ready to response to a cyber attack. The Chief Enterprise Security Officer (CISO) will have a refresher on technology elements.

Basic knowledge

• The course requires students to know a brief about digital world like PC, internet and an appreciation of 'Business'.The students should have basic idea of hacking and impacts on organisation. You should appreciate the management aspect of cyber security

What you will learn

• At the end of course, Students will start believing in policy, process and control aspects of information security management system and they will change their attitude toward cyber security casual to serious. An employed or aspiring to be employed person will change their attitude and will appreciate organisation's information security policy.The students will be able to clearly understand the Confidentiality, Availability and Integrity aspect of Information asset.The information security professions will clearly understand the meaning of Vulnerability, RISK, Policy, Process, Control, guidelines with ample example. Know the Information security standards and frameworks.This course will guide in implementing all elements of Information security management system.The existing cyber security professional will be able to understand and implement enterprise security architecture elements with context to business.

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About this Course

Learn How to Use MicroController in Real World Hacking Scenario

If you remember the scene from Mission Impossible 4 at Burj Khalifa in which Benji ask agent Ethan Hunt that they can not hack burj khalifa server room from inside. The only way to reach the server room is by climbing over the walls of the Burj and placing some hardwarethat contains malware and inserting it to the server. We going to see how we can create that hardware.

In this Course I’m going to show you how we can use tiny 1$ micro controller to hack any PC on your local network as well as anywhere in the world using public IP.

This Microcontroller is called DigiSpark. It is a microcontroller based on Attiny85 development board. It is similar to Arduino but smaller and more powerful in terms of hacking.

Basic knowledge

• Basic Knowledge of Hacking done some Beginner Hacking Course
• Knowledge of Basic Linux Commands 
• Knowledge of Kali Linux 
• Basic Knowledge of MetaSploit 
• Basic Knowledge of Payload

What you will learn

• What is DigiSpark
• DigiSpark Programming
• How DigiSpark can be used in Hacking
• Hacking Windows 10 and Windows 7 Based System using DigiSpark
• Port Forwarding
• WAN Attack (Attack on Different Public IP's)

Course details

About this Course

** First 30 free registrations with the code: CIBERSEGURIDADENLINEA

Course with coverage in multiple areas of Cybersecurity such as: Fundamentals and principles, Risk management, Access control, Identity management, Network and perimeter security, Internet security, Malware, Threats and attacks, etc. (Threat, risk, vulnerability, authentication, AAA, IdM, threats, attacks, malware, virus, firewall, IPS, IDS, UTM, HTTPS, etc). Workshops and practical laboratories.   

Cybersecurity is one of the fields with the greatest growth and demand in the information technology (IT) industry. According to@Cisco Systems , it is estimated that by the year 2019 there will be a deficit of about 2 million cybersecurity professionals worldwide, due to the lack of trained personnel to meet the expected high demand in the area.

Basic knowledge

• Coverage in multiple areas of cybersecurity, technologies, malware, attacks, network seg, trends and solutions, etc.

What you will learn

• Training in multiple areas of cybersecurity
• Threats, attacks, malware and viruses
• Network security and perimeter security, web security
• Fundamentals and principles of security, risk management
• Access control and identity management
• Firewall, IPS, IDS, UTM, Proxy, AAA, Risk, Vulnerability, Malware, Virus, Security Triad, HTTPS
• Workshops and practical laboratories

Course details

About this Course

In this Online Ethical Hacking Course you will learn from beginners to advanced level. You will start to learn from setting up lab so you can prepare your penetration testing lab at your home or office to practice and perform ethical hacking. First , you will learn how to install operating systems into virtualization like VMware.

In this course you will learn to perform Ethical Hacking or penetration testing step by step. You will learn to setup and configure hacking tools in your lab and then usage of it to perform most powerful attacks of hacking. In this course you will learn about penetration testing so instructor will demonstrate how you can perform hacking attack on your own devices in your computer network safely to find vulnerabilities of it and secure them.

This penetration testing course will brief you about computer network also. If you are already working as IT professional or System and network admin in IT industry, this course will help you a lot to secure computer computer network, operate computer network systems, designed computer network systems , monitor computer network systems.

This course will give you more confidence to work as ethical hacker or penetration tester in the live production environment.

This course is designed in a way you will learn from basic to advanced level.

In this course you will learn about most powerful hacking attacks like system hacking , password cracking , web server hacking , scanning networks , sniffing , DDos , web server hacking , web app hacking , enumeration , virus , Trojan , buffer overflow , SQL injection , firewall , ids , IPS , cryptography , wireless , session hijacking , mobile platform hacking , social engineering , Steganography , etc.

In this security course every attack performed in my own lab. This penetration testing course mainly focusing on practicals. This course will teach you step by step practicals that how you can penetrate your own computer networks and defend it from hacker's attack. This online penetration testing course will give you complete white hats skills.

This course is divided in phases like foot printing , scanning , gaining Access , maintaining and covering track.

We tried to make every practicals to be easy to understand however we are giving support to solve queries of students.

This ethical hacking course is designed for educational purpose only. We does not motivate anyone to launch attacks on internet or to your company's environment to damage other. We gives a tips and tricks that how attackers attack on network and how we can defend it by attacking on our own networks and devices. We use our own computer network systems to perform Ethical hacking that we have full permission to launch attack.

Basic knowledge

• Basic Computer IT Skills
• Computer With 4GB Of Ram Atleast (8GB Recommended)
• Operating Systems - Windows , Linux , Kali Linux (We will teach you how you can install it)
• Computer Network Knowledge Will Be Advantage

What you will learn

• What is virtualization?
• Ethical Hacking terms and ethics
• Phases of hacking
• Attack categories and vectors
• Concepts of footprinting
• Search engine tools
• Hacking using google tool
• Website recon tools
• Metagoofil tool
• Email headers and footprinting
• DNS tool
• WHOIS
• Network scanning overview and methodology
• Port discovery
• Network scanning tools
• Stealth idle scanning
• OS and application fingerprinting
• Vulnerability scanning
• Network mapping tools
• Proxy servers
• Enumeration concepts
• Netbios enumeration
• SNMP enumeration
• LDAP enumeration
• NTP enumeration
• SMTP enumeration
• System Hacking concepts
• Password cracking
• Sniffing ( Man in the middle attack)
• Rainbow crack
• Password reset
• DHCP starvation
• Remote Access method
• Spyware
• NTFS alternate data stream exploit
• Steganography
• Covering track
• Malware overview , malware analysis,
• Trojan concepts , creating trojan
• Virus
• Switching security concepts and attack
• DHCP snooping
• ARP inspection
• Social engineering
• Denial of service attack
• Session Hijacking
• Hacking Web Servers
• Buffer overflow
• OWASP
• SQL injection
• Web app vulnerabilities
• Wireless hacking concepts
• Mobile Hacking
• Firewall
• IDS and IPS
• Honeypots
• Encryption concepts

Course details

About this Course

In this era of advanced technology almost all organizations are adopting and depending on the information technology as they grow and flourish and in this age, information is the most valuable thing. This is why the organizations are very concerned about the security of their information. course provides students with an overview of Information Security concepts and practices.

Basic knowledge

• Basic Understanding of the Information Technology

What you will learn

• The Students will understand the basic concepts of Information Security

Course details

About this Course

Ethical hacking and penetration testing are testing the IT resources for a good cause and for the betterment of technology. This Kali linux tutorial will establish your understanding of all the fundamental concepts, processes, and procedures.. You will spend time concentrating on each knowledge area, and studying the tools and techniques, inputs, and outputs associated with each knowledge area.you will learn hacking concepts throughout this Kali Linux tutorials.

In this Kali Linux tutorial you will learn how to become hacker to penetrate your network for defense it. In this online class you will learn hacking to secure your network and IT resources.This course is perfect Cyber Security Course to learn from zero.

In Introduction to Ethical Hacking, you will be introduced to various concepts on ethical hacking through this kali linux tutorials. You will receive an introduction to the basics of Risk Management and Disaster Recovery. As well as an introduction to Penetration Testing.In this kali linux tutorials you will learn from zero to hero.

You will gain a comprehensive understanding of vulnerability assessment and the tools used in this process. What kind of security measures do you take to protect your facilities, equipment, resources, personnel, and property from damage caused by unauthorized access? In this course, Physical Security, these are questions that we will be answering. Footprinting is the gathering of information related to a particular computer and its users and systems.

Reconnaissance is an exploration that is conducted to gain information. Network scanning is the scanning of public or private networks to find out which systems are running, their IP addresses, and which services they are running. In Port Scanning, you will learn how ports can be scanned, how a hacker can break into your network through the ports, and the countermeasures you can take to protect your device or network.

Banner grabbing is a technique used to grab information about computer systems on a network and the services running its open ports. In this course you will be introduced to enumeration and the many different uses it has in computer systems. This course will include demos on the different tools and uses of enumeration. In this online course (Kali linux tutorials) you will be learning the fundamentals of Linux and kali linux. We will be pairing this course with demos with a more in-depth look into some of the fundamentals and tools of Linux.

Pentesting is an attack on a system in hopes of finding security weaknesses. In this Kali linux course Configuring Kali Linux for Pentesting, you will be learning the steps to configure kali Linux for pentesting and tools used for pentesting on a Linux system. Whenever we login to a computer system, we provide information to identify ourselves. We refer to this as authentication. Ensure that you know everything involved in securing a Windows system against attack. During this course you'll get into Windows passwords — how they're created, how they're stored, and different methods used to crack them.

You will take a good look at spyware, the activities it performs, different types of spyware, and the countermeasures needed in order to prevent hackers from utilizing these types of techniques against your company. You will also spend time studying different types of keyloggers through this kali linux course. There are three different types of keyloggers that we see used in today's environments: hardware, software, and kernel/driver keyloggers. Covering Tracks will be going over various ways that attackers have at their disposal to cover any tracks that may lead to their unwanted eviction, or worse yet, to an audit trail that would lead directly back to them. Trojans and Backdoors is the course where our software is going to be going undercover.

You will discover what viruses and worms are and how they can infect computers and systems. Sniffers is our course where we take a look at Network Sniffing. Social engineering is the art of extorting employees for information.

Become familiar with the following concepts: denial-of-service, distributed denial-of-service, and how the denial-of-service and distributed denial-of-service attacks take place. In the course Session Hijacking, you will learn details about session hijacking, well-known techniques employed by aggressors, the steps involved in session hijacking, various types of session hijacking, tools for hijacking sessions, ways you can protect yourselves from session hijacking, and how pentesting can be used to identify vulnerabilities. Hacking Web and Application Servers, is a course that will give you a good idea about vulnerabilities and attacks available for web servers and web applications. In our course our course Advanced Exploitation Techniques, you will learn what advanced exploitation techniques are and how you can use them in your penetration testing. This course is completely Kali Linux tutorial.

Course details

About this Course

This course introduces Python programming as a way to have hands-on experience with Data Science. It starts with a few basic examples in Python before moving onto doing statistical processing. The course then introduces Machine Learning with techniques such as regression, classification, clustering, and density estimation, in order to solve various data problems.

Basic knowledge

• This course is for beginners, but it helps to have some basic understanding of statistics (mean, median, scatter plot) and preliminary knowledge of any programming. The course also assumes that you know how to download and install various programs/apps, and you are able to edit and debug simple programs

What you will learn

• Writing simple Python scripts to do basic mathematical and logical operations
• Loading structured data in a Python environment for processing
• Creating descriptive statistics and visualizations
• Finding correlations among numerical variables
• Using regression analysis to predict the value of a continuous variable
• Building classification models to organize data into pre-determined classes
• Organizing given data into meaningful clusters
• Applying basic machine learning techniques for solving various data problems

Course details

About this Course

This course introduces R programming environment as a way to have hands-on experience with Data Science. It starts with a few basic examples in R before moving onto doing statistical processing. The course then introduces Machine Learning with techniques such as regression, classification, clustering, and density estimation, in order to solve various data problems.

Basic knowledge

• This course is for beginners, but it helps to have some basic understanding of statistics (mean, median, scatter plot) and preliminary knowledge of any programming. The course also assumes that you know how to download and install various programs/apps, and you are able to edit and debug simple programs

What you will learn

• Writing simple R programs to do basic mathematical and logical operations
• Loading structured data in a R environment for processing
• Creating descriptive statistics and visualizations
• Finding correlations among numerical variables
• Using regression analysis to predict the value of a continuous variable
• Building classification models to organize data into pre-determined classes
• Organizing given data into meaningful clusters
• Applying basic machine learning techniques for solving various data problems

Course details

About this Course

On the off chance that you are going for a profession as a Data Scientist or Business Analyst at that point looking over your statistics abilities is something you have to do.

In any case, it's only difficult to begin... Learning/re-adapting ALL of details just appears like an overwhelming undertaking.

That is precisely why we have made this course!

Here you will rapidly get the significant details learning for a Data Scientist or Analyst.

This isn't simply one more exhausting course on details.

This course is exceptionally pragmatic.

I have particularly included true models of business difficulties to demonstrate to you how you could apply this learning to help YOUR vocation.

In the meantime you will ace points, for example, dispersions, the z-test, the Central Limit Theorem, theory testing, certainty interims, measurable criticalness and some more!

So what are you sitting tight for?

Select now and enable your profession!

Basic knowledge

• Just a basic knowledge of high school math
• Interest in Learning Statistical Modelling

What you will learn

• People working in any numerate field which requires data analysis
• People carrying out observational or experimental studies
• Any one who want to make career in Data Science

Course details

About this Course

This course is for those who want to step into Data Science domain, specially into Machine Learning, though I will be covering everything in deep and from the scratch.

This course will take your knowledge in Python from A to Z in a day ( Ofcourse if you can sit in one go ).

I have covered everything from "Hello World" in Python to all the required "Libraries like pandas and numpy"

Basic knowledge

No prior knowledge or prerequisites as everything will be taught from the scratch.

What you will learn

Everything in Python that is required for Data Science, specially with Machine Learning/Deep Learning Domain.

Course details

About this Course

Machine Learning is the up and upcoming branch of Artificial Intelligence and it holds great promises for the generations to come. In this course, we will talk about Machine Learning and Artificial Neural Networks and how you can implement a simple Machine Learning Model in MATLAB.

Who this course is for:

• Anyone who is interested in learning basic concepts of Machine Learning and Neural networks

Basic knowledge

• The course is beginner level for those who are interested in implementing Machine Learning in MATLAB. No prior technical Knowledge is required. However, if you are already familiar with MATLAB, it can be a plus point

What you will learn

• You will learn about Machine Learning and how you can train a simple Model in MATLAB on a simple Dataset. You will get to know some basics of MATLAB too and how you can write and run scripts in MATLAB. You will be able to import your own dataset and train it using different parameters to make some interactive prediction model

Course details

About this Course

Hand Written Character Recognition have always been a tricky task for machines, as well as humans. Designing a Machine Learning Model to automatically detect hand written characters is challenging as well as exciting technique. This Course will guide you through the process of understanding MNIST dataset, which is a benchmark dataset for hand written characters, and training a machine learning model on that dataset for designing a digit recognizer of your own.

Who this course is for:

• Anyone interested in designing Neural Network in MATLAB
• Anyone who wants to learn about working on MNIST Dataset
• Anyone interested in starting Machine Learning

Basic knowledge

• Basic Knowledge of MATLAB can be helpful and a basic understanding of Machine Learning and Neural Networks is must. Refer to my previous course for that

What you will learn

• A clear understanding of MNIST Dataset and how it is helpful in Hand written character Recognition. Training a complex model on the dataset in simple steps. Analysis of the model and using it for further predictions

Course details

About this Course

This course is guaranteed to make the students fall in love with programming. Easy to learn methodology used by a seasoned teacher who has been teaching programming in different computer languages for the last 20+ years.

Flood gates for a lucrative career in programming are certain to open for those Who undergo this course diligently and passionately.

I assure you that if you complete this course it will pave a way for you to become a consummate programmer as all the advanced programming languages and technologies are based on C only. There won;t be any looking back once you immerse yourself with all the contents.

In future I will be posting assignments also . I will come up with more courses like Java and PHP etc.

My humble advice: 

Write all the programs by yourself typing. Make changes here and there and see the changes in output. Play with the code. Don't get discouraged with errors as they are your teachers.

Basic knowledge

• The only prerequisite is the ability to handle very basic operations of a computer although no prior experience in programming is required. Download any free IDE (Integrated Development Environment) for C language like Dev-C++ - Bloodshed, Code::Block, Netbeans etc. These softwares are used to write and execute your C (C++ also) programs. All of them are free. Just google and download from their official websites. Dev-C++ - Bloodhsed is highly recommended as I used it in the whole course

What you will learn

• The students will start solving programming problems. They will be in a position to pursue their courses in advanced languages and technologies like C++ , Java , Android , iOS, PHP, Python etc.This will enhance students' understanding with regard to the way software applications are developed. The students will definitely develop a huge interest in programming and software development
• Be prepared to take notes of the programs I explain, on a paper notebook before writing the programs directly on your computer. This is a great and proven method to learn programming. Please do away with copy and paste habit while undergoing this course

Course details

About this Course

This is an introductory course in Linux. In this course you will learn where to get Linux, how to install it, and how to use it. The class focuses on learning how to use the Linux desktop to encourage you to start using it for day to day work. You will also learn some of the basics that you need for supporting Linux servers as well.

Learning to use Linux for day to day use will help you become very comfortable with it so that you will find Linux fun, and also see the power of it. You will also build the solid foundation that you need to build on for becoming an incredible Linux system administrator too.

Basic knowledge

• This is an introduction to Linux. So no previous Linux skill is needed. You should have basic skills in installing operating systems, and in computer usage

What you will learn

• This is an introductory course in Linux. In this course you will learn where to get Linux, how to install it, and how to use it. The class focuses on learning how to use the Linux desktop to encourage you to start using it for day to day work. You will also learn some of the basics that you need for supporting Linux servers as well.
• Learning to use Linux for day to day use will help you become very comfortable with it so that you will find Linux fun, and also see the power of it. You will also build the solid foundation that you need to build on for becoming an incredible Linux system administrator too.

Course details

About this Course

Overview

VMware vSphere is the most popular platform for deploying virtualized workloads. In this course you will learn how to build reliable enterprise grade VMware vSphere infrastructure from scratch to fully operational production environment. 

Is this a right course for me? 

Have you ever wondered how to set-up your own VMware vSphere infrastructure? How everything is working together to create reliable environment for virtual machines? I have designed this course to help you to understand key concepts of VMware vSphere and I will guide you through whole process of creating your own VMware vSphere infrastructure.

What is covered?

I won’t be talking much about theory and all those fancy acronyms you can see everywhere. Instead of that we will create our very new enterprise grade VMware vSphere environment. We will install three hypervisors and central management platform, configure real world networking and interconnect everything together. Then I will cover key functions of our newly created environment such is high availability, shared storage, migrations of virtual machines and all useful functions that might be handy in real world. After this course, you will be able to set-up you own VMware vSphere environment in your company from the scratch and provide reliable infrastructure for your virtual machines. 

Am I going to be bored?

I have tried to be as practical as possible. I won’t disturb you with those little things like “How many hypervisors can be part of a cluster? Is it 32 or 64?” No, we will be learning things by doing them in my lab. Because of those practical lessons I hope you will enjoy them much more than some theory based lectures. 

What others say

Few selected reviews. Thank you!

"Enjoyed the course and was able to gain needed knowledge of VMware vSphere. From overview to deep dive, with explanations of real world uses, setups and issues or events. Lea

Course details

About this Course

Stackoverflow (Number one source of information for everything programming) estimates that there are about 18million programmers in the world, that is roughly 1% of the worlds 7 billion population. In other words, programming is the new crude, with a lot of opportunities.

Ever wanted to start a career in programming? But because of so much information from using Google you get lost in a pile of information that you receive from your research? Wasting so much time and effort? And at the end you did not start and is still lost?

This course puts together resources that will be useful for you to kick start a programming career - Military Style.

We start by looking at what programming is all about, the benefits and of course the down side of a programming career. Then we take a look at the latest programming languages with a view to knowing how to pick the one that is right for you.

At the end of the course you will identify what works for you and stick to it.

Basic knowledge

• Lots of passion to learn programming

What you will learn

• Know what it takes to become a programmer
• Choose a programming language and stick to it

Course details

About this Course

- "RabbitMQ is the most widely deployed open source message broker." - Pivotal Software, 2018

Join me in this course to learn ins and outs of RabbitMQ!

If you want to learn RabbitMQ and how to develop with it using Java and Spring AMQP, this is the only course you need! 

From Exchanges to Queues, Bindings to Message Listeners, we'll start by learning the pillars, corner stones of RabbitMQ and build on top of them with practical development for all these concepts using Java and Spring! 

I will walk you through the starting from scratch, the messaging itself! We'll discover what messaging means and how it affects our architectural decisions and design considerations. Next up is the AMQP, Advanced Message Queueing Protocol. We'll discover the benefits and reasons behind the popularity of AMQP and how it shaped the architecture of RabbitMQ from messaging concepts to client platforms making use of it. 

While discovering the advantages of AMQP, we'll then start discovering RabbitMQ and its architecture. We'll learn Queues, Exchanges, Bindings, Routings, Publishers, Subscribers and much more about RabbitMQ!

After meeting with RabbitMQ through the concepts that it puts on the table, we'll start preparing our environment for running RabbitMQ and developing applications using it. We'll install all the necessary software for RabbitMQ and have it up and running on our machines both on Windows and MacOS. 

When we finish preparing our environment for RabbitMQ, we'll start discovering by RabbitMQ Management Dashboard. We'll see and learn how RabbitMQ Dashboard helps us easily monitor and manage our RabbitMQ server. We will then send our first ever message to RabbitMQ!

After sending our message, we'll learn how to create Queues, Exchanges and Bindings between them.

Now it's time to start developing for RabbitMQ! We'll learn everything we need to develop software using RabbitMQ starting with RabbitTemplate. RabbitTemplate helps us publish messages to RabbitMQ really easy and we'll learn to use it by examples. From simple text messages to actual objects, we'll learn to send any kind of messages. 

We'll then deepen our knowledge by developing actual Queues, Exchanges and Binding with Java and Spring! We'll learn how to construct Queues, Exchanges, Bindings with Spring AMQP using both Annotations and Builder methods. We're not going to finish it there and we'll develop a message listener for specific queue that we also created programmatically.

We'll both publish and listen to messages so we'll developing a complete application from scratch just like we should in our professional applications! 

Until this point, you'll practically gain all the knowledge you need to develop applications with RabbitMQ. But we'll not stop there and also think of an asynchronous messaging pipeline scenario where we send messages from one application and receive from another one. If you're beginning to work with RabbitMQ or if you need to realize an asynchronous scenario for your next design, this part is especially valuable to you and you should definitely learn how to do this!

Below are some of the key metrics for RabbitMQ; if you're still hesitant to take this course, please read these carefully:

• RabbitMQ is the most widely deployed open source message broker or messaging middleware in other terms.
• With more than 35,000 production deployments of RabbitMQ world-wide at small startups and large enterprises, RabbitMQ is the most popular open source message broker.
• RabbitMQ is lightweight and easy to deploy on premises and in the cloud. It supports multiple messaging protocols. RabbitMQ can be deployed in distributed and federated configurations to meet high-scale, high-availability requirements.
• RabbitMQ runs on many operating systems and cloud environments, and provides a wide range of developer tools for most popular languages.

I hope I'll be seeing you in the course to teach you everything you need to develop applications with RabbitMQ!

Basic knowledge

• Working knowledge of Java, Spring preferred
• Any Java IDE (Intellij preferred)

What you will learn

• Learn to build applications with RabbitMQ using Java and Spring!
• Learn and Implement Topics, Queues, Exchanges and Bindings in RabbitMQ
• Learn how to develop message listeners for specific queues and routings
• Learn to design asynchronous, message-driven systems with RabbitMQ!
• Learn and understand Message-Queueing
• Learn and understand Advanced Message-Queueing Protocol or AMQP
• Learn and understand how Advanced Message-Queueing Protocol works
• Learn and understand the architecture of RabbitMQ

Course details

About this Course

The course is designed for the students who already use the computers or laptop and want to know how is applications and games made of.

We will start form the beginning of designed the flowchart of the program and describe how to convert the flowchart to programming code.

Next is describe the VB dot net statement and variables and efferent types the controls.

The using of branches in simple way.

First :Example is creating a simple application about traffic signs.

Second: Example is how to create your own calculator.

Third: A simple board game X&O. and simple puzzle Game.

Conclusion :How to use programming to converts you ideas to be real and create your own games.

Think what? You can also seal your products to costumers in future.  

Basic knowledge

• Basic mathimatics & english
• Basic computer knowledge

What you will learn

• Princibale of programming
• How Start thinking using flowchart
• Converting flowchart to code
• Calculator application design
• Games application design

Course details

About this Course

You will get understanding of dividing the code in different module to scale at large levels. You will learn different aspects of using the different components like services, HTTP interceptors, local storage, encryption, on the fly cache, cache synchronization, Push notification systems, binding the components in single layouts, layout structuring basics and much more.

Basic knowledge

What are the requirements?

• angular basics
• angular 2,4 or 5
• Basic HTML, CSS, Typescripts
• Business applications understanding

What you will learn

• Understand about large scale application development in angular 6
• Can configure applications as per environment
• Logging and Error handling in right way - exportable logging to sentry or other servers
• Work delegation to different components to make things faster, reliable and efficient
• System workflows, data interactions, OOPs for component level access
• Saving the data in browser storage in right way
• PubSub factories for observable data and cache changes
• Recoverable cache and authentication logics
• MQTT real-time light weight Queue interactions

Course details

About this Course

Web services that conform to the REST architectural style, or RESTful web services, provide interoperability between computer systems on the Internet. This course focuses on faster development of server side to write the lightweight, lightening fast server side in Node JS. We are using the MongoDB, JWT, Mongoose and related libraries for making the server side reliable and fast.

Basic knowledge

• Javascript
• Server side GET, PUT, POST, DELETE
• Browser basics
• PostMan plugin
• Basic functional programming

What you will learn

• Server Creation
• Configuring servers
• Connecting mongoDB
• Using Helpers and DAO
• Mongoose - a mongoDB Client
• Routers - sub routes within server
• Server logging
• JWT - authorizations and authentications
• Token Signing
• Clone and test

Course details

About this Course

We are enhancing the services created with Part 1 by adding loggers, authentication and authorization mechanisms. Optimizing the server code, introducing request tagging with users, user ID, getting user information with tokens, securing the environment in multiple ways. I'm trying to enable the developer more reliable for data and access level handling. I keep focusing on robust + reliable application architecture. I hope you would like to learn this.

Basic knowledge

• Express JS
• Server side programming
• Java Script
• Routing
• Handlers
• Mongoose
• DAO
• Models and coding practices with functional programming
• I would suggest if you new to Node JS please refer to Part 1 of this course first

What you will learn

• Overview of previous code (Part 1)
• Using Loggers (winston)
• Extended Loggers
• Auth helpers with JWT
• Enhancing server security
• Configure Auth Helpers
• Creating user specific routes
• Access helpers (route protector)
• Attaching user identities to request

Course details

About this Course

After finishing level_1 now you can go ahead on the second level_2 f or programming with Vb.net.

You will learn how to use complicated code by easy way of programming.

The easy and fun way is programming (Games) the first game is X|O game.

Basic knowledge

• Passing and understanding the Level_1

What you will learn

• Flowchart design
• Variables
• Aries
• Loops
• Branching

Overview

Get your data to fly using Spark for analytics, machine learning and data science.

Course Curriculum

Taught by a 4 person team including 2 Stanford-educated, ex-Googlers and 2 ex-Flipkart Lead Analysts. This team has decades of practical experience in working with Java and with billions of rows of data. 

Get your data to fly using Spark for analytics, machine learning and data science 

Let’s parse that.

What's Spark? If you are an analyst or a data scientist, you're used to having multiple systems for working with data. SQL, Python, R, Java, etc. With Spark, you have a single engine where you can explore and play with large amounts of data, run machine learning algorithms and then use the same system to productionize your code.

Analytics: Using Spark and Python you can analyze and explore your data in an interactive environment with fast feedback. The course will show how to leverage the power of RDDs and Dataframes to manipulate data with ease. 

Machine Learning and Data Science : Spark's core functionality and built-in libraries make it easy to implement complex algorithms like Recommendations with very few lines of code. We'll cover a variety of datasets and algorithms including PageRank, MapReduce and Graph datasets. 

What's Covered:

Lot's of cool stuff ..

• Music Recommendations using Alternating Least Squares and the Audioscrobbler dataset
• Dataframes and Spark SQL to work with Twitter data
• Using the PageRank algorithm with Google web graph dataset
• Using Spark Streaming for stream processing 
• Working with graph data using the  Marvel Social network dataset 

.. and of course all the Spark basic and advanced features: 

• Resilient Distributed Datasets, Transformations (map, filter, flatMap), Actions (reduce, aggregate) 
• Pair RDDs , reduceByKey, combineByKey 
• Broadcast and Accumulator variables 
• Spark for MapReduce 
• The Java API for Spark 
• Spark SQL, Spark Streaming, MLlib and GraphFrames (GraphX for Python) 

Using discussion forums

Please use the discussion forums on this course to engage with other students and to help each other out. Unfortunately, much as we would like to, it is not possible for us at Loonycorn to respond to individual questions from students:-(

We're super small and self-funded with only 2 people developing technical video content. Our mission is to make high-quality courses available at super low prices.

The only way to keep our prices this low is to *NOT offer additional technical support over email or in-person*. The truth is, direct support is hugely expensive and just does not scale.

We understand that this is not ideal and that a lot of students might benefit from this additional support. Hiring resources for additional support would make our offering much more expensive, thus defeating our original purpose.

It is a hard trade-off.

Thank you for your patience and understanding!

Who is the target audience?

• Yep! Analysts who want to leverage Spark for analyzing interesting datasets
• Yep! Data Scientists who want a single engine for analyzing and modelling data as well as productionizing it.
• Yep! Engineers who want to use a distributed computing engine for batch or stream processing or both

BASIC KNOWLEDGE

• The course assumes knowledge of Python. You can write Python code directly in the PySpark shell. If you already have IPython Notebook installed, we'll show you how to configure it for Spark
• For the Java section, we assume basic knowledge of Java. An IDE which supports Maven, like IntelliJ IDEA/Eclipse would be helpful
• All examples work with or without Hadoop. If you would like to use Spark with Hadoop, you'll need to have Hadoop installed (either in pseudo-distributed or cluster mode).

WHAT YOU WILL LEARN

• Use Spark for a variety of analytics and Machine Learning tasks
• Implement complex algorithms like PageRank or Music Recommendations
• Work with a variety of datasets from Airline delays to Twitter, Web graphs, Social networks and Product Ratings
• Use all the different features and libraries of Spark : RDDs, Dataframes, Spark SQL, MLlib, Spark Streaming and GraphX

Who can Join

• Yep! Analysts who want to leverage Spark for analyzing interesting datasets
• Yep! Data Scientists who want a single engine for analyzing and modelling data as well as productionizing it.
• Yep! Engineers who want to use a distributed computing engine for batch or stream processing or both

Overview

This course is a down-to-earth, shy but confident take on machine learning techniques that you can put to work today

Course Curriculum

Prerequisites: No prerequisites, knowledge of some undergraduate level mathematics would help but is not mandatory. Working knowledge of Python would be helpful if you want to run the source code that is provided.

Taught by a Stanford-educated, ex-Googler and an IIT, IIM - educated ex-Flipkart lead analyst. This team has decades of practical experience in quant trading, analytics and e-commerce. 

This course is a down-to-earth, shy but confident take on machine learning techniques that you can put to work today

Let’s parse that.

The course is down-to-earth: it makes everything as simple as possible - but not simpler

The course is shy but confident: It is authoritative, drawn from decades of practical experience -but shies away from needlessly complicating stuff.

You can put ML to work today: If Machine Learning is a car, this car will have you driving today. It won't tell you what the carburetor is.

The course is very visual: most of the techniques are explained with the help of animations to help you understand better.

This course is practical as well: There are hundreds of lines of source code with comments that can be used directly to implement natural language processing and machine learning for text summarization, text classification in Python.

The course is also quirky. The examples are irreverent. Lots of little touches: repetition, zooming out so we remember the big picture, active learning with plenty of quizzes. There’s also a peppy soundtrack, and art - all shown by studies to improve cognition and recall.

What's Covered:

Machine Learning: 

Supervised/Unsupervised learning, Classification, Clustering, Association Detection, Anomaly Detection, Dimensionality Reduction, Regression.

Naive Bayes, K-nearest neighbours, Support Vector Machines, Artificial Neural Networks, K-means, Hierarchical clustering, Principal Components Analysis, Linear regression, Logistics regression, Random variables, Bayes theorem, Bias-variance tradeoff

Natural Language Processing with Python: 

Corpora, stopwords, sentence and word parsing, auto-summarization, sentiment analysis (as a special case of classification), TF-IDF, Document Distance, Text Summarization, Text classification with Naive Bayes and K-Nearest Neighbours and Clustering with K-Means

Sentiment Analysis: 

Why it's useful, Approaches to solving - Rule-Based, ML-Based, Training, Feature Extraction, Sentiment Lexicons, Regular Expressions, Twitter API, Sentiment Analysis of Tweets with Python

Mitigating Overfitting with Ensemble Learning:

Decision trees and decision tree learning, Overfitting in decision trees, Techniques to mitigate overfitting (cross-validation, regularization), Ensemble learning and Random forests

Recommendations: Content-based filtering, Collaborative filtering and Association Rules learning

Get started with Deep learning: Apply Multi-layer perceptrons to the MNIST Digit recognition problem

A Note on Python: The code-alongs in this class all use Python 2.7. Source code (with copious amounts of comments) is attached as a resource with all the code-alongs. The source code has been provided for both Python 2 and Python 3 wherever possible.

Who is the target audience?

• Yep! Analytics professionals, modelers, big data professionals who haven't had exposure to machine learning
• Yep! Engineers who want to understand or learn machine learning and apply it to problems they are solving
• Yep! Product managers who want to have intelligent conversations with data scientists and engineers about machine learning
• Yep! Tech executives and investors who are interested in big data, machine learning or natural language processing
• Yep! MBA graduates or business professionals who are looking to move to a heavily quantitative role

BASIC KNOWLEDGE

• No prerequisites, knowledge of some undergraduate level mathematics would help but is not mandatory. Working knowledge of Python would be helpful if you want to run the source code that is provided.

WHAT YOU WILL LEARN

• Identify situations that call for the use of Machine Learning
• Understand which type of Machine learning problem you are solving and choose the appropriate solution
• Use Machine Learning and Natural Language processing to solve problems like text classification, text summarization in Python

Who can Join

• Yep! Analytics professionals, modelers, big data professionals who haven't had exposure to machine learning
• Yep! Engineers who want to understand or learn machine learning and apply it to problems they are solving
• Yep! Product managers who want to have intelligent conversations with data scientists and engineers about machine learning
• Yep! Tech executives and investors who are interested in big data, machine learning or natural language processing
• Yep! MBA graduates or business professionals who are looking to move to a heavily quantitative role

Overview

The course is ideal for those who are new to the Raspberry Pi and want to explore more about it.

Course Curriculum

Image Processing Applications on Raspberry Pi is a beginner course on the newly launched Raspberry Pi 3 and is fully compatible with Raspberry Pi 2 and Raspberry Pi Zero.

The course is ideal for those who are new to the Raspberry Pi and want to explore more about it.

You will learn the components of Raspberry Pi, connecting components to Raspberry Pi, installation of NOOBS operating system, basic Linux commands, Python programming and building Image Processing applications on Raspberry Pi.

This course will take beginners without any coding skills to a level where they can write their own programs.

Basics of Python programming language are well covered in the course.

Building Image Processing applications are taught in the simplest manner which is easy to understand.

Users can quickly learn hardware assembly and coding in Python programming for building Image Processing applications. By the end of this course, users will have enough knowledge about Raspberry Pi, its components, basic Python programming, and execution of Image Processing applications in the real time scenario.

The course is taught by an expert team of Electronics and Computer Science engineers, having PhD and Postdoctoral research experience in Image Processing. 

Anyone can take this course. No engineering knowledge is expected. Tutor has explained all required engineering concepts in the simplest manner.

The course will enable you to independently build Image Processing applications using Raspberry Pi.

This course is the easiest way to learn and become familiar with the Raspberry Pi platform.

By the end of this course, users will build Image Processing applications which includes scaling and flipping images, varying brightness of images, perform bit-wise operations on images, blurring and sharpening images, thresholding, erosion and dilation, edge detection, image segmentation. User will also be able to build real-world Image Processing applications which includes real-time human face eyes nose detection, detecting cars in video, real-time object detection, human face recognition and many more. 

The course provides complete code for all Image Processing applications which are compatible on Raspberry Pi 3/2/Zero.

Who is the target audience?

• Anyone who wants to explore Raspberry Pi and interested in building Image Processing applications

BASIC KNOWLEDGE

• Only High School Maths
• No prior programming knowledge is expected
• All the code files and images used in this course will be provided
• Hardware needed: Raspberry Pi 3/2/Zero, Monitor, Mouse, Keyboard, HDMI-VGA connector, USB flash drive (minimum storage capacity 2 GB), Micro SD card (minimum storage capacity 8 GB), Micro SD card reader, Power adapter (2 Amp, Micro-USB charger is preferred), USB Webcam (minimum 5 Megapixel resolution)

WHAT YOU WILL LEARN

• What is Raspberry Pi? and what are its components?
• Understand peripherals that need to be connected to Raspberry Pi
• Wire up your Raspberry Pi to create a fully functional computer
• Easily learn preparing SD Card to load Operating System for Raspberry Pi
• Install packages needed to build Image Processing applications
• Learn basic programming aspects of Python
• Create simple Image Processing applications using Python and OpenCV
• Build real-world Image Processing applications on Raspberry Pi

Who can Join

• Anyone who wants to explore Raspberry Pi and interested in building Image Processing applications

Overview

If you're becoming a professional developer, or are early in your development career, adding the Python skill set isn't just a resume embellishment-- It's an empowering language that will allow you to write procedural code in many types of environments and for many uses.

Course Curriculum

See why over 350,000 Simpliv members learn coding from Mark Lassoff and LearnToProgram.tv!

Few programming languages provide you with the flexibility and pure power of Python.

If you're becoming a professional developer, or are early in your development career, adding the Python skill set isn't just a resume embellishment-- It's an empowering language that will allow you to write procedural code in many types of environments and for many uses.

Python is commonly used for server-side programming for complex web applications or as a middle tier language providing web services or a communication layer with larger e-commerce systems. That being said, it's also a great language for beginners. The clear syntax makes it very easy to learn, and the powerful libraries make all types of programming possible. There are libraries for everything from games and graphics to complex mathematics to network and embedded programming.

Watch, Learn and Do

Programming is not a spectator sport and if you want to learn Python well, this course contains everything you need.

Skill oriented instructor-led lectures will demonstrate each important Python skill. You'll be able to study and modify the code on your own to cement each topic. Python code coding lab exercises will familiarize you not just with Python syntax, but how real problem-solving in Python is done. You'll complete a more comprehensive project to help you integrate the different skills that are part of core Python.

Who is the target audience?

• First time Python programmers
• Students and Teachers
• IT pros who want to learn to code
• Aspiring data scientists who want to add Python to their tool arsenal

BASIC KNOWLEDGE

• Students should be comfortable working in the PC or Mac operating system

WHAT YOU WILL LEARN

• How to use the Python Shell
• How to use interactive mode in Python
• How to develop and run programs in the IDLE editor
• How to run Python scripts directly from the command line
• How to use the print() function
• How to use separators and new line characters to modify command line output
• Assign variables of different types
• Understand integer, floating point, complex and string variables
• Be able to extract substrings
• Easily concatenate strings
• Create Lists and Tuples
• Create key value pairs and store them in dictionaries
• Understand mathematical operators used in Python
• Apply the order of operations to mathematical operations
• Utilize comparison operators to determine logical outcomes
• Use logical operators to join comparisons
• Write conditional statements to correctly branch code
• Use If, else and else if statements to apply branching
• Understand how and when to used nested if statements
• Use the shortcut Ternary operator
• Be able to use looping structures effectively
• Create While loops
• Be able to use For loops to loop through an objects properties
• Be able to construct nested loops and understand their utility.
• Cast variables from one type to another using built-in Python functions
• Use the Mathematical functions within Python to evaluate expressions
• Randomize numbers and selections with the Randomization tools
• Use Python String functions such as find(), join() and split()
• Create immutable tuples
• Access values within tuples
• Use tuple functions to manipulate tuple data
• Declare a dictionary and populate it with key/value pairs
• Access and edit values within dictionaries
• Extract date and time information from the time tuple
• Use the calendar object to work with calendar related information
• Create custom functions
• Send arguments to functions using order or keyword
• Create default function arguments
• Read and obtain keyboard input
• Read from a text file and process the data in Python
• Write to a text file from Python
• Append to a text file
• Handle exceptions with try/except/else in Python
• Use Python within the cgi-bin or a web server
• Process form data from Python

Who can Join

• First time Python programmers
• Students and Teachers
• IT pros who want to learn to code
• Aspiring data scientists who want to add Python to their tool arsenal

Overview

HBase: Do you feel like your relational database is not giving you the flexibility you need anymore? Column-oriented storage, no fixed schema and low latency make HBase a great choice for the dynamically changing needs of your applications.

Course Curriculum

Prerequisites: Working with HBase requires knowledge of Java

Record and run settings a team which includes 2 Stanford-educated, ex-Googlers and 2 ex-Flipkart Lead Analysts. This team has decades of practical experience in working with large-scale data processing jobs. 

Relational Databases are so stuffy and old! Welcome to HBase - a database solution for a new age. 

HBase: Do you feel like your relational database is not giving you the flexibility you need anymore? Column-oriented storage, no fixed schema and low latency make HBase a great choice for the dynamically changing needs of your applications. 

What's Covered: 

25 solved examples covering all aspects of working with data in HBase

CRUD operations in the shell and with the Java API, Filters, Counters, MapReduce 

Implement your own notification service for a social network using HBase

HBase and it’s role in the Hadoop ecosystem, HBase architecture and what makes HBase different from RDBMS and other Hadoop technologies like Hive. 

Using discussion forums

Please use the discussion forums on this course to engage with other students and to help each other out. Unfortunately, much as we would like to, it is not possible for us at Loonycorn to respond to individual questions from students:-(

We're super small and self-funded with only 2 people developing technical video content. Our mission is to make high-quality courses available at super low prices.

The only way to keep our prices this low is to *NOT offer additional technical support over email or in-person*. The truth is, direct support is hugely expensive and just does not scale.

We understand that this is not ideal and that a lot of students might benefit from this additional support. Hiring resources for additional support would make our offering much more expensive, thus defeating our original purpose.

It is a hard trade-off.

Thank you for your patience and understanding!

Who is the target audience?

• Yep! Anyone who is interested in understanding HBase, NoSQL and distributed database management
• Yep! Engineers who want to move away from RDBMS and use HBase for their database solution
• Yep! Folks who are using Hadoop ecosystem tools for analytical processing and want a single system for both OLAP and OLTP

BASIC KNOWLEDGE

• You'll need to have an IDE where you can run Java code, Intellij IDEA and Eclipse are both good options
• You'll need to have some experience with Java programming

WHAT YOU WILL LEARN

• Set up a database for your application using HBase
• Integrate HBase with MapReduce for data processing tasks
• Create tables, insert, read and delete data from HBase
• Get an all-round understanding of HBase and it's role in the Hadoop ecosystem

Who can Join

• Yep! Anyone who is interested in understanding HBase, NoSQL and distributed database management
• Yep! Engineers who want to move away from RDBMS and use HBase for their database solution
• Yep! Folks who are using Hadoop ecosystem tools for analytical processing and want a single system for both OLAP and OLTP

Overview

This course is a zoom-in, zoom-out, hands-on workout involving Hadoop, MapReduce and the art of thinking parallel.

Course Curriculum

Taught by a 4 person team including 2 Stanford-educated, ex-Googlers and 2 ex-Flipkart Lead Analysts. This team has decades of practical experience in working with Java and with billions of rows of data. 

This course is a zoom-in, zoom-out, hands-on workout involving Hadoop, MapReduce and the art of thinking parallel. 

Let’s parse that.

Zoom-in, Zoom-Out:  This course is both broad and deep. It covers the individual components of Hadoop in great detail, and also gives you a higher level picture of how they interact with each other. 

Hands-on workout involving Hadoop, MapReduce: This course will get you hands-on with Hadoop very early on.  You'll learn how to set up your own cluster using both VMs and the Cloud. All the major features of MapReduce are covered - including advanced topics like Total Sort and Secondary Sort. 

The art of thinking parallel: MapReduce completely changed the way people thought about processing Big Data. Breaking down any problem into parallelizable units is an art. The examples in this course will train you to "think parallel". 

What's Covered: Lot's of cool stuff ..

Using MapReduce to:

• Recommend friends in a Social Networking site: Generate Top 10 friend recommendations using a Collaborative filtering algorithm. 
• Build an Inverted Index for Search Engines: Use MapReduce to parallelize the humongous task of building an inverted index for a search engine. 
• Generate Bigrams from text: Generate bigrams and compute their frequency distribution in a corpus of text. 

Build your Hadoop cluster: 

• Install Hadoop in Standalone, Pseudo-Distributed and Fully Distributed modes 
• Set up a Hadoop cluster using Linux VMs.
• Set up a cloud Hadoop cluster on AWS with Cloudera Manager.
• Understand HDFS, MapReduce and YARN and their interaction 

Customize your MapReduce Jobs: 

• Chain multiple MR jobs together
• Write your own Customized Partitioner
• Total Sort: Globally sort a large amount of data by sampling input files
• Secondary sorting 
• Unit tests with MR Unit
• Integrate with Python using the Hadoop Streaming API

.. and of course all the basics: 

• MapReduce: Mapper, Reducer, Sort/Merge, Partitioning, Shuffle and Sort
• HDFS & YARN: Namenode, Datanode, Resource manager, Node manager, the anatomy of a MapReduce application, YARN Scheduling, Configuring HDFS and YARN to performance tune your cluster. 

Using discussion forums

Please use the discussion forums on this course to engage with other students and to help each other out. Unfortunately, much as we would like to, it is not possible for us at Loonycorn to respond to individual questions from students:-(

We're super small and self-funded with only 2 people developing technical video content. Our mission is to make high-quality courses available at super low prices.

The only way to keep our prices this low is to *NOT offer additional technical support over email or in-person*. The truth is, direct support is hugely expensive and just does not scale.

We understand that this is not ideal and that a lot of students might benefit from this additional support. Hiring resources for additional support would make our offering much more expensive, thus defeating our original purpose.

It is a hard trade-off.

Thank you for your patience and understanding!

Who is the target audience?

• Yep! Analysts who want to leverage the power of HDFS where traditional databases don't cut it anymore
• Yep! Engineers who want to develop complex distributed computing applications to process lot's of data
• Yep! Data Scientists who want to add MapReduce to their bag of tricks for processing data

BASIC KNOWLEDGE

• You'll need an IDE where you can write Java code or open the source code that's shared. IntelliJ and Eclipse are both great options.
• You'll need some background in Object-Oriented Programming, preferably in Java. All the source code is in Java and we dive right in without going into Objects, Classes etc
• A bit of exposure to Linux/Unix shells would be helpful, but it won't be a blocker

WHAT YOU WILL LEARN

• Develop advanced MapReduce applications to process BigData
• Master the art of "thinking parallel" - how to break up a task into Map/Reduce transformations
• Self-sufficiently set up their own mini-Hadoop cluster whether it's a single node, a physical cluster or in the cloud.
• Use Hadoop + MapReduce to solve a wide variety of problems: from NLP to Inverted Indices to Recommendations
• Understand HDFS, MapReduce and YARN and how they interact with each other
• Understand the basics of performance tuning and managing your own cluster

Who can Join

• Yep! Analysts who want to leverage the power of HDFS where traditional databases don't cut it anymore
• Yep! Engineers who want to develop complex distributed computing applications to process lot's of data
• Yep! Data Scientists who want to add MapReduce to their bag of tricks for processing data

Overview

This course is a really comprehensive guide to the Google Cloud Platform

Course Curriculum

This course is a really comprehensive guide to the Google Cloud Platform - it has ~25 hours of content and ~60 demos.

The Google Cloud Platform is not currently the most popular cloud offering out there - that's AWS of course - but it is possibly the best cloud offering for high-end machine learning applications. That's because TensorFlow, the super-popular deep learning technology is also from Google.

What's Included:

• Compute and Storage - AppEngine, Container Engineer (aka Kubernetes) and Compute Engine
• Big Data and Managed Hadoop - Dataproc, Dataflow, BigTable, BigQuery, Pub/Sub 
• TensorFlow on the Cloud - what neural networks and deep learning really are, how neurons work and how neural networks are trained.
• DevOps stuff - StackDriver logging, monitoring, cloud deployment manager
• Security - Identity and Access Management, Identity-Aware proxying, OAuth, API Keys, service accounts
• Networking - Virtual Private Clouds, shared VPCs, Load balancing at the network, transport and HTTP layer; VPN, Cloud Interconnect and CDN Interconnect
• Hadoop Foundations: A quick look at the open-source cousins (Hadoop, Spark, Pig, Hive and HBase)

Who is the target audience?

• Yep! Anyone looking to use the Google Cloud Platform in their organizations
• Yep! Any one who is interesting in architecting compute, networking, loading balancing and other solutions using the GCP
• Yep! Any one who wants to deploy serverless analytics and big data solutions on the Google Cloud
• Yep! Anyone looking to build TensorFlow models and deploy them on the cloud

BASIC KNOWLEDGE

• Basic understanding of technology - superficial exposure to Hadoop is enough.

WHAT YOU WILL LEARN

• Deploy Managed Hadoop apps on the Google Cloud
• Build deep learning models on the cloud using TensorFlow
• Make informed decisions about Containers, VMs and AppEngine
• Use big data technologies such as BigTable, Dataflow, Apache Beam and Pub/Sub

Who can Join

• Yep! Anyone looking to use the Google Cloud Platform in their organizations
• Yep! Anyone who is interesting in architecting compute, networking, loading balancing and other solutions using the GCP
• Yep! Anyone who wants to deploy serverless analytics and big data solutions on the Google Cloud
• Yep! Anyone looking to build TensorFlow models and deploy them in the cloud

Overview

This course is a gentle yet thorough introduction to Data Science, Statistics and R using real-life examples.

Course Curriculum

Taught by a Stanford-educated, ex-Googler and an IIT, IIM - educated ex-Flipkart lead analyst. This team has decades of practical experience in quant trading, analytics and e-commerce. 

This course is a gentle yet thorough introduction to Data Science, Statistics and R using real-life examples. 

Let’s parse that.

Gentle, yet thorough: This course does not require a prior quantitative or mathematics background. It starts by introducing basic concepts such as the mean, median etc and eventually covers all aspects of an analytics (or) data science career from analysing and preparing raw data to visualise your findings. 

Data Science, Statistics and R: This course is an introduction to Data Science and Statistics using the R programming language. It covers both the theoretical aspects of Statistical concepts and the practical implementation using R. 

Real life examples: Every concept is explained with the help of examples, case studies and source code in R wherever necessary. The examples cover a wide array of topics and range from A/B testing in an Internet company context to the Capital Asset Pricing Model in a quant finance context. 

What's Covered:

Data Analysis with R: Datatypes and Data structures in R, Vectors, Arrays, Matrices, Lists, Data Frames, Reading data from files, Aggregating, Sorting & Merging Data Frames

Linear Regression: Regression, Simple Linear Regression in Excel, Simple Linear Regression in R, Multiple Linear Regression in R, Categorical variables in regression, Robust regression, Parsing regression diagnostic plots

Data Visualization in R: Line plot, Scatterplot, Bar plot, Histogram, Scatterplot matrix, Heatmap, Packages for Data Visualisation: Rcolorbrewer, ggplot2

Descriptive Statistics: Mean, Median, Mode, IQR, Standard Deviation, Frequency Distributions, Histograms, Boxplots

Inferential Statistics: Random Variables, Probability Distributions, Uniform Distribution, Normal Distribution, Sampling, Sampling Distribution, Hypothesis testing, Test statistic, Test of significance

Using discussion forums

Please use the discussion forums on this course to engage with other students and to help each other out. Unfortunately, much as we would like to, it is not possible for us at Loonycorn to respond to individual questions from students:-(

We're super small and self-funded with only 2 people developing technical video content. Our mission is to make high-quality courses available at super low prices.

The only way to keep our prices this low is to *NOT offer additional technical support over email or in-person*. The truth is, direct support is hugely expensive and just does not scale.

We understand that this is not ideal and that a lot of students might benefit from this additional support. Hiring resources for additional support would make our offering much more expensive, thus defeating our original purpose.

It is a hard trade-off.

Thank you for your patience and understanding!

Who is the target audience?

• Yep! MBA graduates or business professionals who are looking to move to a heavily quantitative role
• Yep! Engineers who want to understand basic statistics and lay a foundation for a career in Data Science
• Yep! Analytics professionals who have mostly worked in Descriptive analytics and want to make the shift to being modellers or data scientists
• Yep! Folks who've worked mostly with tools like Excel and want to learn how to use R for statistical analysis

BASIC KNOWLEDGE

• No prerequisites: We start from basics and cover everything you need to know. We will be installing R and RStudio as part of the course and using it for most of the examples. Excel is used for one of the examples and basic knowledge of Excel is assumed.

WHAT YOU WILL LEARN

• Harness R and R packages to read, process and visualize data
• Understand linear regression and use it confidently to build models
• Understand the intricacies of all the different data structures in R
• Use Linear regression in R to overcome the difficulties of LINEST() in Excel
• Draw inferences from data and support them using tests of significance
• Use descriptive statistics to perform a quick study of some data and present results

Who can Join

• Yep! MBA graduates or business professionals who are looking to move to a heavily quantitative role
• Yep! Engineers who want to understand basic statistics and lay a foundation for a career in Data Science
• Yep! Analytics professionals who have mostly worked in Descriptive analytics and want to make the shift to being modelers or data scientists
• Yep! Folks who've worked mostly with tools like Excel and want to learn how to use R for statistical analysis

Overview

If you want to learn how to start building professional, career-boosting mobile apps and use Machine Learning to take things to the next level, then this course is for you.

Course Curriculum

If you want to learn how to start building professional, career-boosting mobile apps and use Machine Learning to take things to the next level, then this course is for you. The Complete iOS Machine Learning Masterclass™ is the only course that you need for machine learning on iOS. Machine Learning is a fast-growing field that is revolutionizing many industries with tech giants like Google and IBM taking the lead. In this course, you’ll use the most cutting-edge iOS Machine Learning technology stacks to add a layer of intelligence and polish to your mobile apps. We’re approaching a new era where only apps and games that are considered “smart” will survive. (Remember how Blockbuster went bankrupt when Netflix became a giant?) Jump the curve and adopt this innovative approach; the Complete iOS Machine Learning Masterclass™ will introduce Machine Learning in a way that’s both fun and engaging.

In this course, you will:

• Master the 3 fundamental branches of applied Machine Learning: Image & Video Processing, Text Analysis, and Speech & Language Recognition
• Develop an intuitive sense for using Machine Learning in your iOS apps
• Create 7 projects from scratch in practical code-along tutorials
• Find pre-trained ML models and make them ready to use in your iOS apps
• Create your own custom models
• Add Image Recognition capability to your apps
• Integrate Live Video Camera Stream Object Recognition to your apps
• Add Siri Voice speaking feature to your apps
• Dive deep into key frameworks such as coreML, Vision, CoreGraphics, and GamePlayKit.
• Use Python, Keras, Caffee, Tensorflow, sci-kit learn, libsvm, Anaconda, and Spyder–even if you have zero experience
• Get FREE unlimited hosting for one year
• And more!

This course is also full of practical use cases and real-world challenges that allow you to practice what you’re learning. Are you tired of courses based on boring, over-used examples? Yes? Well then, you’re in a treat. We’ll tackle 5 real-world projects in this course so you can master topics such as image recognition, object recognition, and modifying existing trained ML models. You’ll also create an app that classifies flowers and another fun project inspired by Silicon Valley™ Jian Yang’s masterpiece: a Not-Hot Dog classifier app! 

Why Machine Learning on iOS

One of the hottest growing fields in technology today, Machine Learning is an excellent skill to boost your your career prospects and expand your professional tool kit. Many of Silicon Valley’s hottest companies are working to make Machine Learning an essential part of our daily lives. Self-driving cars are just around the corner with millions of miles of successful training. IBM’s Watson can diagnose patients more effectively than highly-trained physicians. AlphaGo, Google DeepMind’s computer, can beat the world master of the game Go, a game where it was thought only human intuition could excel.

In 2017, Apple has made Machine Learning available in iOS 11 so that anyone can build smart apps and games for iPhones, iPads, Apple Watches and Apple TVs. Nowadays, apps and games that do not have an ML layer will not be appealing to users. Whether you wish to change careers or create a second stream of income, Machine Learning is a highly lucrative skill that can give you an amazing sense of gratification when you can apply it to your mobile apps and games.

Why This Course Is Different

Machine Learning is very broad and complex; to navigate this maze, you need a clear and global vision of the field. Too many tutorials just bombard you with the theory, math, and coding. In this course, each section focuses on distinct use cases and real projects so that your learning experience is best structured for mastery.

This course brings my teaching experience and technical know-how to you. I’ve taught programming for over 10 years, and I’m also a veteran iOS developer with hands-on experience making top-ranked apps. For each project, we will write up the code line by line to create it from scratch. This way you can follow along and understand exactly what each line means and how to code comes together. Once you go through the hands-on coding exercises, you will see for yourself how much of a game-changing experience this course is.

As an educator, I also want you to succeed. I’ve put together a team of professionals to help you master the material. Whenever you ask a question, you will get a response from my team within 48 hours. No matter how complex your question, we will be there–because we feel a personal responsibility in being fully committed to our students.

By the end of the course, you will confidently understand the tools and techniques of Machine Learning for iOS on an instinctive level.

Don’t be the one to get left behind. Get started today and join millions of people taking part in the Machine Learning revolution.

topics: ios 11 swift 4 coreml vision deep learning machine learning neural networks python anaconda trained models keras tensorflow scikit learn core ml ios11 Swift4 scikitlearn artificial neural network ANN recurrent neural network RNN convolutional neural network CNN ocr character recognition face detection ios 11 swift 4 coreml vision deep learning machine learning neural networks python anaconda trained models keras tensorflow scikit learn core ml ios11 Swift4 scikitlearn artificial neural network ANN recurrent neural network RNN convolutional neural network CNN ocr character recognition face detection ios 11 swift 4 coreml vision deep learning machine learning neural networks python anaconda trained models keras tensorflow scikit learn core ml ios11 Swift4 scikitlearn artificial neural network ANN recurrent neural network RNN convolutional neural network CNN ocr character recognition face detection ios 11 swift 4 coreml vision deep learning machine learning neural networks python anaconda trained models keras tensorflow scikit learn core ml ios11 Swift4 scikitlearn artificial neural network ANN recurrent neural network RNN convolutional neural network CNN ocr character recognition face detection ios 11 swift 4 coreml vision deep learning machine learning neural networks python anaconda trained models keras tensorflow scikit learn core ml ios11 Swift4 scikitlearn artificial neural network ANN recurrent neural network RNN convolutional neural network CNN ocr character recognition face detection 

Who is the target audience?

• People with a basic foundation in iOS programming who would like to discover Machine Learning, a branch of Artificial Intelligence
• People who want to pursue a career combining app development and Machine Learning to become a hybrid iOS developer and ML expert
• Developers who would like to apply their Machine Learning skills by creating practical mobile apps
• Entrepreneurs who want to leverage the exponential technology of Machine Learning to create added value to their business could also take this course. However, this course does assume that you are familiar with basic programming concepts such as object oriented programming, variables, methods, classes, and conditional statements

BASIC KNOWLEDGE

• Basic understanding of programming
• Have access to a MAC computer or MACinCloud website

WHAT YOU WILL LEARN

• Build smart iOS 11 & Swift 4 apps using Machine Learning
• Use trained ML models in your apps
• Convert ML models to iOS ready models
• Create your own ML models
• Apply Object Prediction on pictures, videos, speech and text
• Discover when and how to apply a smart sense to your apps

Who can Join

• People with a basic foundation in iOS programming who would like to discover Machine Learning, a branch of Artificial Intelligence
• People who want to pursue a career combining app development and Machine Learning to become a hybrid iOS developer and ML expert
• Developers who would like to apply their Machine Learning skills by creating practical mobile apps
• Entrepreneurs who want to leverage the exponential technology of Machine Learning to create added value to their business could also take this course. However, this course does assume that you are familiar with basic programming concepts such as object oriented programming, variables, methods, classes, and conditional statements

Overview

A Note on the Python versions 2 and 3: The code-along in this class all use Python 2.7. Source code (with copious amounts of comments) is attached as a resource with all the code-along. The source code has been provided for both Python 2 and Python 3 wherever possible.

Course Curriculum

A Note on the Python versions 2 and 3: The code-along in this class all use Python 2.7. Source code (with copious amounts of comments) is attached as a resource with all the code-along. The source code has been provided for both Python 2 and Python 3 wherever possible.

What's Covered:

• Introductory Python: Functional language constructs; Python syntax; Lists, dictionaries, functions and function objects; Lambda functions; iterators, exceptions and file-handling
• Database operations: Just as much database knowledge as you need to do data manipulation in Python
• Auto-generating spreadsheets: Kill the drudgery of reporting tasks with xlsxwriter; automated reports that combine database operations with spreadsheet auto-generation
• Text processing and NLP: Python’s powerful tools for text processing - nltk and others.
• Website scraping using Beautiful Soup: Scrapers for the New York Times and Washington Post
• Machine Learning : Use sk-learn to apply machine learning techniques like KMeans clustering
• Hundreds of lines of code with hundreds of lines of comments
• Drill #1: Download a zip file from the National Stock Exchange of India; unzip and process to find the 3 most actively traded securities for the day
• Drill #2: Store stock-exchange time-series data for 3 years in a database. On-demand, generate a report with a time-series for a given stock ticker
• Drill #3: Scrape a news article URL and auto-summarize into 3 sentences
• Drill #4: Scrape newspapers and a blog and apply several machine learning techniques - classification and clustering to these

Using discussion forums

Please use the discussion forums on this course to engage with other students and to help each other out. Unfortunately, much as we would like to, it is not possible for us at Loonycorn to respond to individual questions from students:-(

We're super small and self-funded with only 2 people developing technical video content. Our mission is to make high-quality courses available at super low prices.

The only way to keep our prices this low is to *NOT offer additional technical support over email or in-person*. The truth is, direct support is hugely expensive and just does not scale.

We understand that this is not ideal and that a lot of students might benefit from this additional support. Hiring resources for additional support would make our offering much more expensive, thus defeating our original purpose.

It is a hard trade-off.

Thank you for your patience and understanding!

Who is the target audience?

• Yep! Folks with zero programming experience looking to learn a new skill
• Machine Learning and Language Processing folks looking to apply concepts in a full-fledged programming language
• Yep! Computer Science students or software engineers with no experience in Java, but experience in Python, C++ or even C#. You might need to skip over some bits, but in general the class will still have new learning to offer you :-)

BASIC KNOWLEDGE

• No prior programming experience is needed :-)
• The course will use a Python IDE (integrated development environment) called iPython from Anaconda. We will go through a step-by-step procedure on downloading and installing this IDE.

WHAT YOU WILL LEARN

• Pick up programming even if you have NO programming experience at all
• Write Python programs of moderate complexity
• Perform complicated text processing - splitting articles into sentences and words and doing things with them
• Work with files, including creating Excel spreadsheets and working with zip files
• Apply simple machine learning and natural language processing concepts such as classification, clustering and summarization
• Understand Object-Oriented Programming in a Python context

Who can Join

• Yep! Folks with zero programming experience looking to learn a new skill
• Machine Learning and Language Processing folks looking to apply concepts in a full-fledged programming language
• Yep! Computer Science students or software engineers with no experience in Java, but experience in Python, C++ or even C#. You might need to skip over some bits, but in general the class will still have new learning to offer you :-)

Overview

This course is about Machine Learning with Python Course.

Course Curriculum

ABOUT THE COURSE:

Learn to use Python, the ideal programming language for Machine Learning, with this comprehensive course from Simpliv. Gain expertise in core areas of Python and Machine Learning, such as algorithms, model evaluation, supervised vs. unsupervised learning, reinforcement learning, neural networks, k-nearest Neighbor Classifier, Naive Bayes Classifier, and lots more. Become a complete Machine Learning and Python pro. Our experts will show you how to use your knowledge of Python to learn to use it for Machine Learning. All you need is basic knowledge of Python. Our course will take it up from there and make you an expert.

Who is the target audience?

 Programmers, Developers, Technical Leads, Architects, Freshers, Data Scientists, Data Analysts, Business Intelligence Managers.

Basic knowledge:

 There are no hard pre-requisites. However, a basic understanding of Computer Programming terminologies is beneficial.

Curriculum

Python Introduction

• Introduction to Python   
• Core programming concepts   
• Objects in Python   
• Visualizations in Python  
• Packages in Python   
• Matrix operations  
• Data frames   

Machine Learning

• Data Pre-processing   
• Regression   
• Classification   
• Clustering   
• Association Rule   
• Natural Language Processing 

Price:  Ã¢â€šÂ¹ 16665    ( Enroll Today and Get Flat 40% OFF )

New Batch starts from 7th Jan 2019 Days: Mon-Fri (10 Days) 07:00 PM - 10:00 PM (IST)

Who can Join

 Programmers, Developers, Technical Leads, Architects, Freshers,Data Scientists, Data Analysts,Business Intelligence Managers.

Overview

This course is about Data Visualization with Tableau, R and Python Course.

Course Curriculum

ABOUT THE COURSE

Data science doesn’t need to be the complex subject it is thought to be. Not with Simpliv, for sure. Understand when to use the right tools, how to connect to the right data source, how to connect Tableau Desktop with R to optimize the functions of R, packages, libraries and saved models. Also, learn to use Python scripts for your fields in Tableau in the same way as you do with R. Ideal for becoming a complete data professional.

Who is the target audience?

 All the professionals who are passionate about business intelligence, data visualization, and data analytics.Basic knowledge:

 There are no prerequisites for taking up this certification training course.

Curriculum

Visualization with Tableau

• Tableau - An Introduction   
• Aggregation and Granularity   
• Action Filters and Action Highlights   
• Customer Segmentation Dashboard   
• Data Blending   
• Find top 10 Gems   
• Table Calculations (Explaining various Table calculations )   
• Difference between Table calculations and Calculated fields  
• LOD Functions   
• How to connect to databases (Video-based)   
• How to integrate Tableau with R (Video-based)   
• Dashboarding Techniques   
• Other Charts   

Python and R basics

• Tableau - An Introduction   
• Core programming concepts   
• Objects in Python   
• Visualizations in Python  
• Packages in Python   
• Packages in Python   
• Matrix Operations  
• Data frames   
• Introduction to R   
• Objects in R   
• Core programming concepts   
• Visualizations in R (Packages in R)   
• Matrix Operations  
• Data frames   
• Lists in R  
• Apply family functions in R  
• Projects and Tests  

Price:  Ã¢â€šÂ¹ 16665 (Enroll Today and Get Flat 40% OFF)

New Batch starts from 21ST Jan 2019 Days: Mon-Fri (15 Days) 07:00 PM - 10:00 PM (IST)

Who can Join

 All the professionals who are passionate about business intelligence, data visualization, and data analytics.

Overview

This course is about Tableau Certification Training.

Course Curriculum

ABOUT THE COURSE

Want to learn all the elements of Tableau Desktop 10? You have come to the right place. Simpliv’s Tableau Certification Training will familiarize you with everything about Tableau, including visualizing, data organization and dashboard designing. Our course will ensure that you also don’t get left out of other concepts of Tableau, such as mapping, data connection and statistics. Ideal for system administrators, business intelligence professionals and software developers, Simpliv is all geared to put you on the road to Tableau Desktop 10 Qualified Associate certification.

Who is the target audience?

 All the professionals who are passionate about business intelligence, data visualization, and data analytics.

Basic knowledge:

 There are no prerequisites for taking up this certification training course.

Curriculum

Visualization with Tableau

• Tableau - An Introduction   
• Aggregation and Granularity   
• Action Filters and Action Highlights   
• Customer Segmentation Dashboard   
• Data Blending   
• Find top 10 Gems   
• Table Calculations (Explaining various Table calculations )   
• Difference between Table calculations and Calculated fields  
• LOD Functions   
• How to connect to databases (Video-based)   
• How to integrate Tableau with R (Video-based)   
• Dashboarding Techniques   
• Other Charts   
• Tableau Server   
• Interview Preparation   
• Certification Preparation (Optional)   

Price:  Ã¢â€šÂ¹ 16665    ( Enroll Today and Get Flat 40% OFF )

New Batch starts from 11th Feb 2019 Days: Mon-Fri (10 Days) 07:00 PM - 10:00 PM (IST)

Who can Join

 All the professionals who are passionate about business intelligence, data visualization, and data analytics.

Overview

This course is about Python Programming Certification Course.

Course Curriculum

ABOUT THE COURSE

Passionate about Python programming? The Information Technology world is waiting for you. This wonderfully flexible, object-oriented language is best learnt when it is learnt with examples. Simpliv offers tons of examples to help you understand the concepts and learn how to implement them in real life to integrate systems. Our course offers you knowledge of how to put Python to the highest use it is capable of being put to web development, GUI, software development, system admin, and what not. Ideal for anyone who wants to put Python to its optimal use.

Who is the target audience?

 Programmers, Developers, Technical Leads, Architects, Freshers, Data Scientists, Data Analysts, Business Intelligence Managers.

Basic knowledge:

You don’t need any specific knowledge to learn Python. A basic knowledge of programming can help.

Curriculum

Python Basics

• Introduction to Python   
• Core programming concepts   
• Objects in Python   
• Visualizations in Python   
• Packages in Python   
• Matrix operations  
• Data frames   

Price:  Ã¢â€šÂ¹ 16665    ( Enroll Today and Get Flat 40% OFF )

New Batch starts from 25th Feb 2019 Days: Mon-Fri (10 Days) 07:00 PM - 10:00 PM (IST)

Who can Join

 Programmers, Developers, Technical Leads, Architects, Freshers,Data Scientists, Data Analysts,Business Intelligence Managers.