About This Course

This course is inspired by the NPTEL course "Python for Data Science" from IIT Madras, designed for final-year undergraduates. Over four weeks, you'll explore Python-based tools and techniques for analyzing and visualizing data. What you'll learn: Python basics using Spyder IDE Data types, control structures, functions, and variables NumPy for numerical computations Data handling with Pandas (using the Toyota Corolla dataset) Visualizations with Matplotlib and Seaborn (scatter, line, bar, histogram, box, pair plots) Real-world case studies involving regression (used car price prediction) and classification (personal income classification) Free Course for educational purposes only. All original content belongs to NPTEL (National Programme on Technology Enhanced Learning) and IIT Madras, and is used here with full credit. For the complete certified course, visit: NPTEL Course Page

Course Content Preview

Introduction to Python for Data Science
15:52
Introduction of Python
12:49
Introduction to Spyder - Part 1
9:59
Introduction to Spyder - Part 2
14:50
Variables and Datatypes
12:15
Operators
21:17
Setup of Jupyter
6:58
Sequence of data part 1
12:44
Sequence Data – Part 2
13:54
Sequence data part 3
19:30
Sequence Data – Part 4
35:21