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Data Science for Sports - Sports Analytics and Visualization

 

Data Science for Sports - Sports Analytics and Visualization

GETTING STARTED

Data Science for Sports - Sports Analytics and Visualization In this course, you will learn how to perform analysis on sports data and then, visualize it using Python. We will start the course by looking at the ... New

What you'll learn

  • Learn how to perform analysis of different kinds of sports data using the 2018 NFL season data.
  • Learn how to visualize sports statistics.
  • Learn how to create a sports field and visualize players on top of it.
  • 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 - Sports Analytics and Visualization', created by The Click Reader.

In this course, you will learn how to perform analysis on sports data and then, visualize it 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.

Instructor
The Click Reader
Teaching Data Science on Udemy

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