| S.No. | Course Title | Download Link |
| 1 | Programming Fundamentals using Python 1. Introduction to Programming Languages 2. Assignment operators, variables, expressions, and types 3. Program development life cycle 4. Conditional Statements 5. Loops 6. Functions 7. Files handling 8. Exception handling 9. List, Comprehension, Tuple, Dictionary, Sets, and Serialization 10. Python GUI Programming using Tkinter 11. Python Database Programming using MySQL 12. Visual Python Toolkits | PowerPoint Slides Python GUI Codes using Jupyter Notebook Python MySQL Codes using Jupyter Notebook List Comprehension Codes using Jupyter NoteBook |
| 2 | Big Data Analytics using Pyspark (Python+Spark) 1. Installation 2. Data loading and handling massing Values 3. PySpark DataFrame Basics 4. PySpark DataFrame Basics 5. Spark DataFrame Basic Operations 6. GroupBy and Aggregate Operations 7. Machine Learning with PySpark | Pyspark codes using Kaggal Notebook |
| 3 | Machine Learning Using Python 1. Simple, Multiple, Linear/Non-Linear, Polynomial Regression | Regressions using Jypter Notebook |