IIT Roorkee - Executive Post Graduate Certification in Data Science & Artificial Intelligence 

Preparatory Session - Linux and Python
Introduction to Python and IDEs – The basics of the python programming language, how you can use various IDEs for python development like Jupyter, Pycharm, etc
Python Basics – Variables, Data Types, Loops, Conditional Statements, functions, decorators, lambda functions, etc.

Data Transformation Using SQL 
Fundamentals of Structured Query Language
SQL Tables, Joins, Variables 

Python Libraries For Data Science
Data Handling with NumPy
Data Manipulation Using Pandas

Inferential Analytics
Statistics and Descriptive Analytics using MS Excel
Python for Descriptive, Diagnostic, and Inferential Statistics

Machine Learning
Introduction to Machine learning 
Regression 
Classification  

Supervised Learning 
Linear Regression – Creating linear regression models for linear data using statistical tests, data preprocessing, standardization, normalization, etc.
Logistic Regression – Creating logistic regression models for classification problems – such as if a person is diabetic or not, if there will be rain or not, etc.

Advanced Machine Learning Algorithms
XGBoost – Extreme Gradient Boosting or XGBoost algorithm works on an ensemble approach that combines the predictions of weak models to produce a strong prediction.
ADAboost – An ensemble machine learning algorithm that converts the weak learners to strong learners for better performance.