Data Science for Sports - Analyze and Visualize Sports Data
Data Science for Sports - Analyze and Visualize Sports Data
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 922 MB
Genre: eLearning Video | Duration: 8 lectures (1 hour, 8 mins) | Language: English
Learn how to analyze and visualize sports data using Python
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 922 MB
Genre: eLearning Video | Duration: 8 lectures (1 hour, 8 mins) | Language: English
Learn how to analyze and visualize sports data using Python
What you'll learn
Learn how to analyze different kinds of sports data using the 2018 season data.
Learn how to visualize sports statistics.
Learn how to create a sports field and visualize players on top of it using Python.
Learn how to standardize sports data.
Requirements
Basic understanding of Python, Pandas and Matplotlib.
Description
Learn how to work with sports data in this hands-on course called 'Data Science for Sports - Analyze and Visualize Sports Data', created by The Click Reader.
In this course, you will learn how to analyze and visualize sports data using Python. We will start the course by looking at the games in the 2018 NFL season. Then, we will move onto look at player statistics in order to understand the players in the season. We will also look at the plays of the NFL season and finally, end the course by building a data visualization project where we will be visualizing the American Football Field and players on top of it.
There are hands-on exercises at the end of each lecture and the knowledge you gain through this course can be extended to any other domain of sports.
Who this course is for:
Any developer looking to learn how to analyze and visualize sports data using Python.
Data Science for Sports - Analyze and Visualize Sports Data
