Module 1: Introduction to Python for Data Analysis

• Python syntax and data types

• Data structures: lists, dictionaries, tuples, sets

• Functions and control flows

• Installing and managing libraries with pip

Module 2: Data Wrangling and Exploration with Pandas

• Working with DataFrames and Series

• Reading and writing CSV, Excel, and JSON files

• Data cleaning: handling missing values, duplicates, renaming columns

• Data filtering, sorting, indexing

• Aggregations and groupby operations

Module 3: Numerical Data Analysis with NumPy

• Understanding NumPy arrays

• Array creation, indexing, and slicing

• Vectorized operations and broadcasting

• Using statistical and mathematical functions for data analysis