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

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....
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1 - 3 of 3 Reviews for Foundations of Sports Analytics: Data, Representation, and Models in Sports

By Robert B

Jun 14, 2021

Great course! The lectures focus on the hands-on application of analytics techniques; with slides of theory and math kept to a minimum. The quizzes are of easy to moderate difficulty, and help reinforce the concepts learnt in the lecture. The material of the course will be of interest to anyone who enjoys extracting insights from data, even if you aren't much of a sports fan. I’m excited for the next course in the specialization!

By Fabrizio L F

Jun 13, 2021

I've never been more excited of doing a regression model in my life! Amazing content.

By Daniel G S

Jun 14, 2021

Overall it was a good course. It covers the basic of Sports Analytics and it has a lot of good examples and datasets.