This course provides an introduction to using Python to analyze team performance in sports. Learners will discover a variety of techniques that can be used to represent sports data and how to extract narratives based on these analytical techniques. The main focus of the introduction will be on the use of regression analysis to analyze team and player performance data, using examples drawn from the National Football League (NFL), the National Basketball Association (NBA), the National Hockey League (NHL), the English Premier LEague (EPL, soccer) and the Indian Premier League (IPL, cricket).
This course is part of the Sports Performance Analytics Specialization
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Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs Course 1 of 5 in the
Approx. 49 hours to complete
English
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs Course 1 of 5 in the
Approx. 49 hours to complete
English
Offered by
Syllabus - What you will learn from this course
10 hours to complete
Introduction to Sports Performance and Data
10 hours to complete
8 videos (Total 78 min), 6 readings, 1 quiz
9 hours to complete
Introduction to Data Sources
9 hours to complete
6 videos (Total 67 min), 6 readings, 3 quizzes
8 hours to complete
Introduction to Sports Data and Plots in Python
8 hours to complete
4 videos (Total 52 min), 6 readings, 2 quizzes
7 hours to complete
Introduction to Sports Data and Regression Using Python
7 hours to complete
6 videos (Total 55 min), 6 readings, 3 quizzes
Reviews
- 5 stars63.07%
- 4 stars24.61%
- 3 stars5.38%
- 2 stars3.84%
- 1 star3.07%
TOP REVIEWS FROM FOUNDATIONS OF SPORTS ANALYTICS: DATA, REPRESENTATION, AND MODELS IN SPORTS
by HHSep 4, 2021
Great material and well paced for people working. One instructor is a bit green though.
by KYAug 26, 2021
Great course. Although this course focuses on sports analysis, the analyzing process I learned from it can apply to any other areas of analysis.
by KJJul 5, 2021
Best course to interact with data representation programming and libraries, especially for the great sports fan.
by MHMar 7, 2022
An excellent way to get hands-on experience exploring sports data in Python/R
About the Sports Performance Analytics Specialization

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