Introduction to Python and Data Analysis

1. Introduction to Data Analysis

• Importance and Applications of Data Analysis
• Overview of the Data Analysis Process

2. Python Basics

• What is Python?
• Installation and Setup (Anaconda, Jupyter Notebook)
• Using Google Collab for Python
• Variables, Data Types, and Operators
• Control Structures (if-else, loops)
• Functions and Modules

3. Mini Project: Basic Calculator

• Create a simple calculator to perform basic arithmetic operations

Data Manipulation and Cleaning

1. Introduction to Pandas

• Installation and Basics
• Series and DataFrame
• Loading and Inspecting Data (read_csv, head, tail, describe)

2. Data Cleaning