Applied Data Science and Machine Learning - Batch 1

Course Contents

Week 1

• Bird's Eye view on overall course

• Review on Basic Programming Techniques

• Setting up the Environment

Week 2

• Python Basics
• Weekly Assignment - 1 (Skill measurement before course)

Week 3

• Python Data Structures
• NumPy
• Weekly Assignment - 2 (Python Learning Badge Challenge)

Week 4

• Data Science Pipeline
• Web Scraping
• Pandas
• Discussion on Course Project Choice

Week 5

• Matplotlib
• Seaborn
• Weekly Assignment - 3 (Data Analysis Challenge)

Week 6

• Regular Expression
• Data Visualization with Tableau

Week 7

• Statistics Overview
• Introduction to Machine Learning

Week 8

• linear regression Overview
• predict using linear regression

Week 9

• logistic Regression overview
• coding section

Week 10

• SVM overview
• coding section

Week 11

• Naive bayes classifier overview
• coding section