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.
Offered By
Math behind Moneyball
University of HoustonAbout this Course
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Shareable Certificate
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Beginner Level
Approx. 65 hours to complete
English
Subtitles: French, Portuguese (European), Russian, English, Spanish
Skills you will gain
- Statistics
- Analytics
- Microsoft Excel
- Probability
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.
Beginner Level
Approx. 65 hours to complete
English
Subtitles: French, Portuguese (European), Russian, English, Spanish
Offered by
University of Houston
Established in 1927, the University of Houston empowers students in their pursuit of learning, discovery, leadership and engagement. Located in a sprawling metropolis, our premier Tier One campus provides students with cutting edge programs including undergraduate, graduate, doctoral, distance and continuing education. Ranked among the best colleges in America, UH is home to award-winning faculty, innovative research centers, has one of the most diverse student populations in the nation, and alumni who have become international leaders.
Syllabus - What you will learn from this course
3 minutes to complete
Before you start...
3 minutes to complete
1 video (Total 2 min), 1 reading
7 hours to complete
Module 1
You will learn how to predict a team’s won loss record from the number of runs, points, or goals scored by a team and its opponents. Then we will introduce you to multiple regression and show how multiple regression is used to evaluate baseball hitters. Excel data tables, VLOOKUP, MATCH, and INDEX functions will be discussed.
7 hours to complete
11 videos (Total 90 min), 22 readings, 3 quizzes
6 hours to complete
Module 2
You will concentrate on learning important Excel tools including Range Names, Tables, Conditional Formatting, PivotTables, and the family of COUNTIFS, SUMIFS, and AVERAGEIFS functions. You will concentrate on learning important Excel tools including Range Names, Tables, Conditional Formatting, PivotTables, and the family of COUNTIFS, SUMIFS, and AVERAGEIFS functions.
6 hours to complete
10 videos (Total 76 min), 23 readings, 2 quizzes
4 hours to complete
Module 3
You will learn how Monte Carlo simulation works and how it can be used to evaluate a baseball team’s offense and the famous DEFLATEGATE controversy.
4 hours to complete
6 videos (Total 71 min), 10 readings, 2 quizzes
8 hours to complete
Module 4
You will learn how to evaluate baseball fielding, baseball pitchers, and evaluate in game baseball decision-making. The math behind WAR (Wins above Replacement) and Park Factors will also be discussed. Modern developments such as infield shifts and pitch framing will also be discussed.
8 hours to complete
13 videos (Total 88 min), 27 readings, 5 quizzes
Reviews
- 5 stars68.13%
- 4 stars19.78%
- 3 stars4.39%
- 2 stars2.19%
- 1 star5.49%
TOP REVIEWS FROM MATH BEHIND MONEYBALL
by TDOct 19, 2020
Very interesting course. Great way to get to know how analytics departments behind the scenes of professional sports work.
by SPJul 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.
by FNOct 19, 2016
Great course! I suggest to everyone interested in sports analytics to do this course. It is difficult to find courses like this focused on sports analytics.
by YHJul 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
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