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Master Data Analysis with Python - Essential Pandas Commands

Master Data Analysis with Python - Essential Pandas Commands
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Master Data Analysis with Python - Essential Pandas Commands
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.by Ted Petrou

What you'll learn

  • Extremely thorough coverage of the most essential DataFrame and Series attributes and methods
  • Best practices from pandas expert Ted Petrou author of Pandas Cookbook
  • 85 exercises with detailed solutions, 14 Jupyter Notebooks, 170 pages
  • Aggregation and Non-Aggregation Methods
  • Changing the direction of an operation
  • String-only methods with the str accessor
  • Datetime-only methods with the dt accessor
  • Complete coverage of the many available data types
  • Handle missing values
  • Nuisance columns
  • Assigning subsets of data
  • Much, much more

Description
Major Upgrade: June 26, 2019

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 place.

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.

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