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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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
- Predictive Analytics
- Spreadsheet Software
- Data-Driven Decision-Making
- Regression Analysis
- Statistical Modeling
- Simulations
- Advanced Analytics
- Statistics
- Excel Formulas
- Game Theory
- Predictive Modeling
- Probability & Statistics
- Statistical Analysis
- Statistical Methods
- Data Analysis Software
- Probability
- Data Analysis
- Pivot Tables And Charts
- Analytics
Tools you'll learn
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
39 assignments
Taught in English
91% of learners achieved a positive career outcome
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
Explore more from Data Analysis
University of Michigan
University of Michigan
The State University of New York
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- 5 stars
69.07%
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4.12%
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2.06%
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5.15%
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.
