Book Description

Master Data Analysis with Python Volume 1 is a comprehensive 700-page text dedicated to teaching the fundamentals of data analysis and visualization. It is divided into 9 parts:

  • Intro to pandas
  • Selecting Subsets of Data
  • Essential Commands
  • Grouping Data
  • Time Series
  • Regular Expressions
  • Tidy Data
  • Joining Data
  • Visualization


This volume provides precise and modern approaches to doing data analysis with Python. To help you master the concepts, there are over 300 exercises with detailed solutions. There are also several projects that give you a chance to bring together multiple concepts and tools as you would in a real-life analysis.

The primary Python library used during the book is pandas. Visualization will be handled by the matplotlib and seaborn libraries, both of which are covered in great detail. The best practices from the very latest versions of the libraries are used. Currently, pandas is on 0.24, matplotlib 3.0, and seaborn 0.9. The book will receive continuous updates that you will have access to through at least 2020. 

Master Data Analysis with Python is written by Ted Petrou, author of the highly rated text Pandas Cookbook. This volume is much better than Pandas Cookbook and covers substantially more topics with better explanations. Ted has spent the last 3 years teaching data science in-person using Python to hundreds of students and sees first hand exactly where students struggle. He has continually upgraded his material to minimize these struggles by providing simple and direct paths forward.

*This book assumes you already have a solid understanding of the basics of Python. If you do not, you should master these fundamentals first. Exercise Python, also by Ted Petrou, provides the necessary prerequisite knowledge before coming to this text.

This volume assumes no knowledge of any of the Python data science libraries. Each part progresses slowly beginning with the basics and ending with more advanced topics in the later chapters.

All the material is contained within Jupyter Notebooks. This allows you to open a notebook, read through the material, run the code, and then answer the exercises all within a single environment. Also included, is a PDF file of the entire book to help with searching for specific topics.

Volumes 2 (late 2019) covers exploratory data analysis while volume 3 (2020) covers machine learning.

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    $100.00Complete Master Data Analysis with Python Bundle

    Purchase the entire bundle which includes Exercise Python, Master Data Analysis with Python Volume 1 and all video courses for each for only $100. (Some videos are still being created)
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