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Master Data Analysis with Python

Master Data Analysis with Python is a comprehensive course to learn data analysis and visualization in Python. There are over 650 pages of material, 350 exercises, multiple projects, detailed solutions, and 13 hours of video.

This course is divided into 11 parts:

  1. Intro to Pandas
  2. Selecting Subsets of Data
  3. Essential Series Commands
  4. Essential DataFrame Commands
  5. Data Types
  6. Grouping Data
  7. Time Series
  8. Regular Expressions
  9. Tidy Data
  10. Joining Data
  11. Visualization

For a more detailed description of each topic, visit the main Master Data Analysis with Python page.

Become an Expert

Many other courses use poor practices to teach the data science libraries such as pandas, matplotlib, and seaborn. With Master Data Analysis with Python, you will be given the absolute best practices to use the libraries that massively increase your efficiency. This text will rapidly help you become an expert.

All Access Pass!

Instead of purchasing each product separately, get lifetime access to all current and future products with the All Access Pass! for one low price.

About the Author

This course is taught by Ted Petrou, an expert at Python, data exploration and machine learning. Ted is the author of the highly rated text Pandas Cookbook. Ted has taught hundreds of students Python and data science during in-person classroom settings. He sees first hand exactly where students struggle and continually upgrades his material to minimize these struggles by providing simple and direct paths forward.

Ted is one of the foremost authorities on using the pandas library to do data analysis. His blog posts have totaled well over 1 million views. He is also a prolific contributor on Stack Overflow having answered over 400 questions.

Ted holds a master's degree in statistics from Rice University and is the author of Exercise Python and Master Machine Learning with Python.

What your purchase includes

You are purchasing a digital download along with access to all videos currently produced. The digital download includes the following:

  • 70+ Jupyter Notebook where you can read the text, complete exercises, and add notes.
  • 650+ page PDF of the text allowing you to search for specific content or read when not online.
  • 240+ page PDF of the solutions to all exercises


Master Data Analysis assumes you already have a solid understanding of the fundamentals of Python. If you do not, you should master these fundamentals first. Exercise Python provides the necessary prerequisite knowledge.

This book assumes no knowledge of any of the Python data science libraries. Each part progresses slowly and thoroughly beginning with the basics. Advanced topics are covered towards the last chapters in each part.

Videos Lessons

There will be videos produced for every part of the book that are included in this offer. So far, 13 hours of video are available on parts 2, 3, and 4.

If you wish to purchase just the book without the videos, visit the book-only checkout

What People Are Saying:

“In my opinion what distinguishes you from everyone is your deep understanding of Python and Pandas. I follow lot of people on twitter, linkedin, Medium who share tips/tricks/codes on Python, Pandas, scikit-learn but no one comes close to you when writing efficient code and explaining the finer nuances.”