Pandas Data Processing Course 🐼📊

Welcome to the Pandas Data Processing course! This guide will help you master data manipulation using Pandas, a powerful Python library essential for data science workflows.

🎯 Learning Objectives

• Learn to install and import Pandas
• Understand data structures like DataFrame and Series
• Master data cleaning, filtering, and transformation techniques
• Explore data aggregation and visualization basics
• Practice real-world data processing scenarios

📘 Course Outline

1. Introduction to Pandas

   - Overview of Pandas and its role in data analysis - Key features: speed, flexibility, and ease of use

2. Data Loading & Inspection

   - Loading data from CSV, Excel, and databases - Inspecting data with `head()`, `shape`, and `info()`

3. Data Cleaning Techniques

   - Handling missing values (NaN) - Removing duplicates and correcting inconsistencies

4. Data Manipulation & Transformation

   - Filtering rows with `loc[]` and `iloc[]` - Applying functions to columns with `apply()`

5. Advanced Operations

   - Grouping data with `groupby()` - Merging DataFrames with `merge()` and `concat()`

📚 Recommended Resources

• Python Basics for Beginners
• Data Visualization with Matplotlib
• Pandas Official Documentation

Start coding today and transform your data processing skills! 🚀