Course Details

Data Science Training Program

Course description

Data science can be defined as a blend of mathematics, business acumen, tools, algorithms and machine learning techniques, all of which help us in finding out the hidden insights or patterns from raw data which can be of major use in the formation of big business decisions. In data science, one deals with both structured and unstructured data. The algorithms also involve predictive analytics in them. Thus, data science is all about the present and future. That is, finding out the trends based on historical data which can be useful for present decisions and finding patterns which can be modelled and can be used for predictions to see what things may look like in the future. Data Science is an amalgamation of Statistics, Tools and Business knowledge. So, it becomes imperative for a Data Scientist to have good knowledge and understanding of these.

Course outline

The following topics will be covered by this introductory course:

· Introduction and Importance of Data Science

· Statistics

· Information Visualisation

· Data Mining, Data Structures, and Data Manipulation

· Algorithms used in Machine Learning

· Data Scientist Roles and Responsibilities

· Data Acquisition and Data Science Life Cycle

· Deploying Recommender Systems on Real-World Data Sets 

· Experimentation, Evaluation and Project Deployment Tools

· Predictive Analytics and Segmentation using Clustering 

· Applied Mathematics and Informatics

· Working on Data Mining, Data Structures, and Data Manipulation

· Big Data Fundamentals and Hadoop Integration with R