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Back to Foundations of Sports Analytics: Data, Representation, and Models in Sports

Learner Reviews & Feedback for Foundations of Sports Analytics: Data, Representation, and Models in Sports by University of Michigan

4.4
stars
185 ratings

About the Course

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 does not simply explain methods and techniques, it enables the learner to ...
...

Top reviews

RS

Jul 25, 2024

O curso é incrível, e nas duas últimas semanas dificulta bastante. É necessário muito foco desde o início para que o processo de aprendizagem seja mais fluído. Vale muito a pena fazer.

KY

Aug 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.

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26 - 33 of 33 Reviews for Foundations of Sports Analytics: Data, Representation, and Models in Sports

By Sibi

Sep 6, 2023

Really great and informative course, loved the material and the assignments!

By viswesh n

Aug 28, 2022

Excellent course on how data analytics can be used in the world of sports.

By Aymen B

Apr 6, 2022

I learned a lot from this course

By Ali B B

Jan 16, 2022

Some lectures seem to be unnecessary as they are repetitions of same concepts on different datasets.

By Francesco C

Oct 4, 2022

too basic

By sumedh r

Feb 21, 2022

very high level course

By Hanspeter A

Dec 15, 2023

cant find data needed for course

By Deleted A

Mar 13, 2022

I hate it