Session 1: Introduction to Data Science

• Data Science & its applications

• Pillars of Data Science & Big Data

• Tools, techniques, and solutions overview

Session 2: Machine Learning Basics

• Types of ML solutions

• Tools for ML: Python, R

• Business case studies and identifying ML types quiz

Session 3: Supervised Machine Learning (SML)

• Overview of supervised learning methods

• Demonstration of SML methods with real-world datasets