Intrduction to Python with Application of EDA

What you will learn ?

You will get to know about Python basics with Explanatory Data Analysis.

Eligibility: Students from Mathematics/Statistics/Economics/CS or similar background (Minimum B.Sc. preferred)

System Requirement: Windows 8/10/11 + Python 3.9 + Anaconda installed

Syllabus:

1. Introduction to Python Language

2. Download & Install Python: Anaconda - spyder

3. Python Keywords and Identifiers

4. Python Comments

5. Python Variables

6. Python Data Types

7. Python Operators: Arithmetic, logical

8. Python Control Flow – Decision Making: if, if-else, if-elif-else, nested if

9. Python Control Flow – Looping: while, for, range, nested loop

10. Python Control Flow – Branching: break, continue, pass

11. Python Strings

12. Python Lists

13. Python Tuples

14. Python Sets

15. Python Dictionaries

16. Python Arrays

17. Python user-defined Functions

18. Python User Input

19. Python File Handling

20. Python Exceptions Handling

21. Regular Expressions

22. Pivoting, Sorting

23. Groupby

24. Creating Dataframe

25. Lambda

26. Visualization using Matplotlib and Seaborn

27. Missing Value Imputation with Outlier Handling

28. Linear Regression with Assumptions check

29. Logistic Regression

30. Correlation