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
Gain insight into a topic and learn the fundamentals.
4.5
(97 reviews)
Beginner level
No prior experience required
64 hours to complete
3 weeks at 21 hours a week
Flexible schedule
Learn at your own pace
Skills you'll gain
Details to know
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Assessments
39 assignments
Taught in English
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There are 12 modules in this course
What's included
1 video1 reading
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.
What's included
11 videos22 readings3 assignments
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.
What's included
10 videos23 readings2 assignments
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.
What's included
6 videos10 readings2 assignments
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.
What's included
13 videos27 readings5 assignments
You will learn basic concepts involving random variables (specifically the normal random variable, expected value, variance and standard deviation.) You will learn how regression can be used to analyze what makes NFL teams win and decode the NFL QB rating system. You will also learn that momentum and the “hot hand” is mostly a myth. Finally, you will use Excel text functions and the concept of Expected Points per play to analyze the effectiveness of a football team’s play calling.
What's included
11 videos23 readings5 assignments
You will learn how two-person zero sum game theory sheds light on football play selection and soccer penalty kick strategies. Our discussion of basketball begins with an analysis of NBA shooting, box score based player metrics, and the Four Factor concept which explains what makes basketball teams win.
What's included
7 videos16 readings4 assignments
You will learn about advanced basketball concepts such as Adjusted plus minus, ESPN’s RPM, SportVu data, and NBA in game decision-making.
What's included
8 videos13 readings4 assignments
You will learn how to use game results to rate sports teams and set point spreads. Simulation of the NCAA basketball tournament will aid you in filling out your 2016 bracket. Final 4 is in Houston!
What's included
7 videos18 readings5 assignments
You will learn how to rate NASCAR drivers and get an introduction to sports betting concepts such as the Money line, Props Bets, and evaluation of gambling betting systems.
What's included
10 videos19 readings4 assignments
You will learn how Kelly Growth can optimize your sports betting, how regression to the mean explains the SI cover jinx and how to optimize a daily fantasy sports lineup. We close with a discussion of golf analytics.
What's included
7 videos14 readings4 assignments
Final exam has 10 questions. Please download and open Excel files before taking the exam. You will be referred to Excel files during the exam. Each question is wort 1 point. You need to answer 6 questions or more correctly to pass the exam.
What's included
1 reading1 assignment
Instructor
Instructor ratings
4.3 (27 ratings)
Offered by
Recommended if you're interested in Data Analysis
DeepLearning.AI
The State University of New York
Coursera Instructor Network
Coursera Project Network
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4.5
97 reviews
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Showing 3 of 97
TD
5
Reviewed on Oct 19, 2020
Very interesting course. Great way to get to know how analytics departments behind the scenes of professional sports work.
DT
5
Reviewed on Dec 18, 2022
I really liked this class, I learned a great deal about math and how to use excel to analyze sports.
SP
4
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.
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