h264, yuv420p, 1280x720 | English, aac, 44100 Hz, stereo, s16 | 6h 58mn | 5.8 GB
Instructor: Ted Petrou
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.
Master the most essential DataFrame and Series commands necessary to explore data using pandas
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
Assigning subsets of data
Much, much more
Needs to be familiar with the fundamentals of python
Needs to know how to select subsets of data in pandas (See my FREE Intro to Pandas course)
Major Upgrade: June 26, 2019
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.
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.
Who this course is for:
Those who have a desire to completely master doing data analysis with python and pandas
Those who desire to learn from an expert who teaches data analysis with Python full-time