Moneyball and Beyond
This course is part of Sports Performance Analytics.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Sports Performance Analytics Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Calculate and analyze key baseball performance metrics using Python
Evaluate player performance using advanced statistical methods
Understand the mathematical principles behind Moneyball theory
Develop run expectancy matrices and calculate WAR
Conduct data-driven player and team performance analysis
Skills you'll gain
This course includes:
4.25 Hours PreRecorded video
15 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This comprehensive course explores the revolution in sports analytics triggered by Moneyball. Students learn to program in Python to test and validate the claims behind the Moneyball story, analyzing performance statistics in professional baseball. The curriculum covers essential metrics like on-base percentage and slugging percentage, progressing to advanced concepts such as run expectancy matrices and Wins Above Replacement (WAR). Through hands-on programming assignments, learners develop skills to conduct their own team and player analyses using real MLB data.
Week 1
Module 1 · 6 Hours to complete
Week 2
Module 2 · 5 Hours to complete
Week 3
Module 3 · 5 Hours to complete
Week 4
Module 4 · 5 Hours to complete
Week 5
Module 5 · 5 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Sports Performance Analytics
Instructor
Stephen J. Galetti Professor of Sport Management
Stefan Szymanski is a renowned economist whose research is primarily focused on the economics of sports. With over 100 papers published in peer-reviewed journals and ten books authored, his work has had a significant impact on the field. Among his most well-known books is Soccernomics, co-authored with Simon Kuper, which became an international bestseller. Szymanski was born in Nigeria to a Polish father and an English mother. He spent the majority of his life in London before relocating to Michigan in 2011. As a professor at the University of Michigan, Szymanski continues to explore various aspects of sports economics, including the financial dynamics, market behaviors, and broader societal impacts of sports.
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