Learn how probability, math, and statistics can be used to help baseball, football and basketball teams improve, player and lineup selection as well as in game strategy.
Math behind Moneyball
Math behind Moneyball
Instructor: Professor Wayne Winston
Access provided by Charotar University of Science and Technology
17,742 already enrolled
Gain insight into a topic and learn the fundamentals.
97 reviews
Beginner level
No prior experience required
7 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Skills you'll gain
- Statistical Modeling
- Game Theory
- Simulations
- Predictive Analytics
- Spreadsheet Software
- Data Analysis Software
- Probability & Statistics
- Excel Formulas
- Pivot Tables And Charts
- Statistical Analysis
- Predictive Modeling
- Analytics
- Data-Driven Decision-Making
- Probability
- Statistical Methods
- Data Analysis
- Advanced Analytics
- Regression Analysis
- Statistics
Tools you'll learn
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
39 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
There are 12 modules in this course
Instructor
Instructor ratings
(27 ratings)Offered by
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Learner reviews
- 5 stars
69.07%
- 4 stars
19.58%
- 3 stars
4.12%
- 2 stars
2.06%
- 1 star
5.15%
Showing 3 of 97
TD
Reviewed on Oct 19, 2020
Very interesting course. Great way to get to know how analytics departments behind the scenes of professional sports work.
SP
Reviewed on Jul 25, 2017
Great course, however very heavy emphasis on Baseball and NFL. Resultantly some of the assessment questions proved impossible given the knowledge needed about the sport.
HA
Reviewed on Feb 5, 2017
Pretty good course where you learn how to analyse performance via various statistical analysis techniques. You also learn quite a bit in MS Excel.
Explore more from Data Science
University of Michigan
University of Michigan
The State University of New York
