There has been a major upgrade to the material that adds a
massive new introduction on setting up a robust data science
environment and many expanded explanations throughout. It now
contains a beautiful 300+ pdf document with all the material in one
Master Data Analysis with Python - 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 of the 10 total parts of the Master Data Analysis with Python series. The first course in the series is titled Master Data Analysis with Python - Intro to Pandas and is available for FREE (search on Udemy to find it). This course assumes you have the knowledge from that course.
- Series Attributes and Methods
- DateFrame Attributes and Methods
- Changing Data Types
- Assigning Subsets of Data
- Case Studies