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
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Math behind Moneyball
Instructor: Professor Wayne Winston
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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
- Statistics
- Analytics
- Statistical Methods
- Excel Formulas
- Pivot Tables And Charts
- Data-Driven Decision-Making
- Statistical Modeling
- Predictive Analytics
- Regression Analysis
- Statistical Analysis
- Simulations
- Probability & Statistics
- Data Analysis
- Spreadsheet Software
- Predictive Modeling
- Game Theory
- Probability
- Data Analysis Software
- Advanced Analytics
Tools you'll learn
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
39 assignments
Taught in English
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There are 12 modules in this course
Instructor
Instructor ratings
(27 ratings)Offered by
Explore more from Data Analysis
University of Michigan
University of Michigan
The State University of New York
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Showing 3 of 97
ZH
Reviewed on Jul 18, 2020
Great course for sport fans who want to learn about sports analytics. But need to have extensive knowledge on game rules and specific terms for MLB, NFL, NBA
PW
Reviewed on May 31, 2020
Great class. Longer to complete than the estimates though.
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.
