Master Data Analysis with Python is a comprehensive course to learn data analysis and visualization in Python. There are over 800 pages of material, 400 exercises, multiple projects, and detailed solutions.
This course is divided into 12 parts:
- Intro to Pandas
- Selecting Subsets of Data
- Essential Series Commands
- Essential DataFrame Commands
- Data Types
- Grouping Data
- Time Series
- Regular Expressions
- Tidy Data
- Joining Data
- Visualization with matplotlib
- Visualization with pandas and seaborn
For a more detailed description of each topic, visit the main Master Data Analysis with Python page.
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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.
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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 including the following:
- 70+ Jupyter Notebook where you can read the text, complete exercises, and add notes.
- 800+ page PDF of the text allowing you to search for specific content or read when not online.
Prerequisites
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
This offer does NOT include any videos. If you wish to purchase the book along with the videos, visit this checkout page.