Extremely thorough coverage of the most essential DataFrame and Series attributes and methods.
You'll learn operations such as aggregation and non-aggregation methods, string-only and datetime-only methods, handling missing values, and much, much more.
Nearly 100 exercises are available with detailed solutions to help you reinforce the knowledge gained from the lectures.
Essential Pandas Commands provides some of the most comprehensive and rigorous coverage available on how to best use the most essential commands of the DataFrame and Series in the pandas library.
This course targets those who have an interest in becoming experts and completely mastering the pandas library for data analysis in a professional environment. The pandas library is easy to misuse and has an abundance of quirks that are not covered well in other courses. Tutorials abound with incorrect or misleading information on how to use pandas properly. This course provides best practices for each command and has 85 exercises to test your ability and reinforce your understanding of the material.
This course does not cover all of the pandas library, just a small and fundamental portion of it. If you are looking for a brief introduction of the entire pandas library, this course is not it. It takes many dozens of hours, lots of practice, and rigorous understanding to be successful using pandas for data analysis.
This course is the second part of the Master Data Analysis with Python series. The first course in the series is titled Intro to Pandas and is available for FREE. This course assumes you have the knowledge from that course.
This course is taught by expert instructor Ted Petrou, author of the highly-rated books Master Data Analysis with Python and Pandas Cookbook. Ted has taught over 1,000 hours of live in-person data science courses that use the pandas library.