Welcome to the Complete Pandas Course repository.
This repository contains all the notes, code examples, and practice exercises for my full Pandas course available on YouTube.
This course is designed to take you from the basics of Pandas to advanced data analysis techniques, helping you become proficient in handling, analyzing, and visualizing data with Python.
This course covers Pandas from beginner to advanced level. You will learn how to manipulate dataframes, handle missing data, perform grouping and aggregation, merge and join datasets, and create visualizations. Each topic is explained in simple English with clear examples and practical exercises.
The course includes:
- Introduction to Pandas
- Series and DataFrames
- Reading and writing data
- Data selection and filtering
- Handling missing data
- Data cleaning and preprocessing
- Grouping and aggregation
- Merging and joining datasets
- Data visualization with Pandas
- Practical projects and exercises
- Beginners in Python and data analysis
- Students learning data science
- Developers who want to work with data efficiently
- Anyone who wants to analyze and visualize data professionally
No prior Pandas experience is required. Basic Python knowledge is helpful.
Before starting, make sure you have:
- Python installed
- Pandas library installed
- Basic understanding of Python programming
- Watch the tutorial on YouTube.
- Read the related notes from this repository.
- Practice the code examples.
- Try to solve exercises and build small data projects on your own.
Consistency and practice are key to mastering Pandas.
If you find this course helpful, please:
- Star this repository
- Share it with your friends
- Subscribe to the YouTube channel
Your support helps in creating more free educational content.
Muhammad Ishfaq Khan
BS Computer Science Student
Data Science Educator
YouTube Content Creator