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
Learner Career Outcomes
33%
started a new career after completing these courses
25%
got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 65 hours to complete
English
Subtitles: French, Portuguese (European), Russian, English, Spanish
Skills you will gain
StatisticsAnalyticsMicrosoft ExcelProbability
Learner Career Outcomes
33%
started a new career after completing these courses
25%
got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your 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
TOP REVIEWS FROM MATH BEHIND MONEYBALL
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 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
by HLDec 11, 2019
This is a very enlighting course for me, as an esports analyst, I found many analytic methods in traditional sports inspirational. Thank you, Prof.Winston
by HHFeb 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.
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