This course is part of the Sports Performance Analytics Specialization

4.7
stars
37 ratings

Stefan Szymanski

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Offered By

Sports Performance Analytics SpecializationUniversity of Michigan

About this Course

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The book Moneyball triggered a revolution in the analysis of performance statistics in professional sports, by showing that data analytics could be used to increase team winning percentage. This course shows how to program data using Python to test the claims that lie behind the Moneyball story, and to examine the evolution of Moneyball statistics since the book was published. The learner is led through the process of calculating baseball performance statistics from publicly available datasets. The course progresses from the analysis of on base percentage and slugging percentage to more advanced measures derived using the run expectancy matrix, such as wins above replacement (WAR). By the end of this course the learner will be able to use these statistics to conduct their own team and  player analyses.

Flexible deadlines

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Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 2 of 5 in the

Sports Performance Analytics Specialization

Approx. 28 hours to complete

English

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 2 of 5 in the

Sports Performance Analytics Specialization

Approx. 28 hours to complete

English

Instructor

Instructor rating

4.63/5 (12 Ratings)

Stefan Szymanski

Stephen J. Galetti Professor of Sport Management

School of Kinesiology

14,601 Learners

3 Courses

Offered by

University of Michigan

Syllabus - What you will learn from this course

Week1

Week 1

6 hours to complete

Week 1

6 hours to complete

5 videos (Total 61 min), 10 readings, 3 quizzes

5 videos

Introduction to Moneyball6mReproducing Table 1 of Hakes and Sauer - Part 118mReproducing Table 1 of Hakes and Sauer - Part 212mReproducing Table 1 of Hakes and Sauer- Part 312mReproducing Table 1 of Hakes and Sauer - Part 49m

10 readings

Course Syllabus10mHelp Us Learn More About You5mWeek 1 - Assignment Overview10mAssignment - Part 110mSample Notebook - Part 110mAssignment - Part 210mSample Notebook - Part 210mAssignment - Part 310mSample Notebook - Full Sample10mWeek 1 R Content10m

3 practice exercises

Week 1 - Quiz 130mWeek 1 - Quiz 230mWeek 1 - Quiz 330m

Week2

Week 2

6 hours to complete

Week 2

6 hours to complete

6 videos (Total 57 min), 8 readings, 3 quizzes

6 videos

Reproducing Table 3 of Hakes and Sauer- Part 19mReproducing Table 3 of Hakes and Sauer- Part 25mReproducing Table 3 of Hakes and Sauer- Part 310mReproducing Table 3 of Hakes and Sauer- Part 410mReproducing Table 3 of Hakes and Sauer- Part 510mReproducing Table 3 of Hakes and Sauer- Part 610m

8 readings

Moneyball Week 2 - Assignment Overview10mAssignment - Part 110mSample Notebook - Part 110mAssignment - Part 210mSample Notebook - Part 210mAssignment - Part 310mSample Notebook - Full Sample10mWeek 2 R Content10m

3 practice exercises

Week 2 - Quiz 130mWeek 2 - Quiz 230mWeek 2 - Quiz 330m

Week3

Week 3

6 hours to complete

Week 3

6 hours to complete

6 videos (Total 55 min), 9 readings, 3 quizzes

6 videos

Moneyball update Part 15mMoneyball update Part 26mMoneyball Update Part 39mMoneyball Update Part 412mMoneyball Update Part 58mMoneyball Update Part 613m

9 readings

Moneyball Week 3 - Assignment Overview10mAssignment - Part 110mSample Notebook - Part 110mAssignment - Part 210mSample Notebook - Part 210mAssignment - Part 310mSample Notebook - Part 310mSample Notebook in R10mWeek 3 R Content10m

3 practice exercises

Week 3 - Quiz 130mWeek 3 - Quiz 26mWeek 3 - Quiz 330m

Week4

Week 4

6 hours to complete

Week 4

6 hours to complete

4 videos (Total 44 min), 9 readings, 3 quizzes

4 videos

Beyond Moneyball: Run expectancy Part 110mBeyond Moneyball: Run Expectancy Part 212mBeyond Moneyball: Run expectancy Part 311mBeyond Moneyball: Run expectancy Part 49m

9 readings

Moneyball Week 4 - Assignment Overview10mAssignment - Part 110mSample Notebook - Part 110mAssignment - Part 210mSample Notebook - Part 210mAssignment - Part 310mSample Notebook - Part 310mSample Notebook in R10mWeek 4 R Content10m

3 practice exercises

Week 4 - Quiz 130mWeek 4 - Quiz 230mWeek 4 - Quiz 330m

Reviews

4.7

5 reviews

5 stars
75.67%
4 stars
21.62%
1 star
2.70%

TOP REVIEWS FROM MONEYBALL AND BEYOND

by JLJun 28, 2022

Some baseball concepts are complex for european people. But the content of the course is really interesting and very well explained.

by MHMar 17, 2022

An excellent way to develop Python skills to interesting topics.

by JBAug 25, 2021

I learned a lot about baseball and the Python language. Thank you for the great course.

View all reviews

About the Sports Performance Analytics Specialization

Sports analytics has emerged as a field of research with increasing popularity propelled, in part, by the real-world success illustrated by the best-selling book and motion picture, Moneyball. Analysis of team and player performance data has continued to revolutionize the sports industry on the field, court, and ice as well as in living rooms among fantasy sports players and online sports gambling.

Drawing from real data sets in Major League Baseball (MLB), the National Basketball Association (NBA), the National Hockey League (NHL), the English Premier League (EPL-soccer), and the Indian Premier League (IPL-cricket), you’ll learn how to construct predictive models to anticipate team and player performance. You’ll also replicate the success of Moneyball using real statistical models, use the Linear Probability Model (LPM) to anticipate categorical outcomes variables in sports contests, explore how teams collect and organize an athlete’s performance data with wearable technologies, and how to apply machine learning in a sports analytics context. This introduction to the field of sports analytics is designed for sports managers, coaches, physical therapists, as well as sports fans who want to understand the science behind athlete performance and game prediction. New Python programmers and data analysts who are looking for a fun and practical way to apply their Python, statistics, or predictive modeling skills will enjoy exploring courses in this series.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

Moneyball and Beyond

About this Course