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

4.4
stars
198 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 apply them to sports datasets of interest so that they can generate their own results, rather than relying on the data processing performed by others. As a consequence the learning will be empowered to explore their own ideas about sports team performance, test them out using the data, and so become a producer of sports analytics rather than a consumer. While the course materials have been developed using Python, code has also been produced to derive all of the results in R, for those who prefer that environment....

Top reviews

KN

Oct 13, 2024

Excellent course! All of a sudden, I understand statistical concepts I struggled to grasp in undergrad.

AB

Oct 25, 2023

Fantastic introduction to Python, engaging and I enjoyed that lots of different sports were discussed.

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26 - 35 of 35 Reviews for Foundations of Sports Analytics: Data, Representation, and Models in Sports

By Hagar S

•

Sep 7, 2021

perfect

By ERR B R J M

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Sep 15, 2022

Good!

By Sibi

•

Sep 6, 2023

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

By Viswesh A N

•

Aug 28, 2022

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

By Aymen B

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Apr 6, 2022

I learned a lot from this course

By Ali B B

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Jan 16, 2022

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

By Francesco C

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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