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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
193 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

KY

Aug 27, 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.

AM

Jan 17, 2023

Complete and accessible course for everybody who wants to experience how statistics and econometrics can be used in sports contexts.

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

By ERR B R J M

Sep 16, 2022

Good!

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 7, 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 Péter

Jul 11, 2025

The course is moderately interesting from Module 1 to Module 5, but it is not entirely clear who the target audience of the course may be. The course presumes some existing knowledge of Python programming, statistical methods, and the sports included in the course. However, it is not entirely clear to me what learners already equipped with this knowledge are supposed to benefit from this course. In the course, it is demonstrated how these statistical methods can be applied to some selected sports in Python (R is also supported to some moderate extent), but learners who already know Python, statistical methods, and the sports will probably already be able to do this by themselves. If the course is supposed to provide that little extra push that is required to put these all together, it's fine, but you will not actually learn any of these categories, only how to apply them in a very specific context. OK, so then we reach Module 6, where all this collapses in a thunderous rumble. The amount of omissions, glitches, oversights, discrepancies, and pure nonsense in Module 6 is just way too much to even start listing and makes one think what is put out to customers as the final product is in fact some sort of vague first draft of the module, waiting to be further developed and reviewed by an army of content developers. Very disheartening, and one doesn't quite understand why Coursera or the UoM would voluntarily put out such rubbish only to embarrass themselves, when they strictly speaking do not really have to do so. Really, why? It's a mystery! For the moderately engaging and useful content of the first five modules, I am giving this course 2 stars, but the amount of damage Module 6 has visited upon the perceived quality of this course and the reputation of Coursera and the UoM is so devastating that any further benevolence is just simply out of the question. Ah yes, and it would have been great to have a lecturer in statistics who can pronounce the word "statistics" once I am charged for the lectures! Thank you for reading my review.

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 14, 2022

I hate it