University of Houston - Math behind Moneyball
- Offered byCoursera
Math behind Moneyball at Coursera Overview
Duration | 65 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Math behind Moneyball at Coursera Highlights
- 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
Math behind Moneyball at Coursera Course details
- 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 at Coursera Curriculum
Before you start...
All you will learn
Suggested Textbooks (Not Required)
1.1 Introduction
1.2 Pythagorean Theorem
1.3 Ten runs = One win
Homework Problems 1 and 2
1.4 Runs created
1.5 Runs Created Per Game
1.6 Multiple Regression 1
1.7 Multiple Regression 2
1.8 Linear Weights
1.9 On Base Percentage + Slugging Percentage
1.10 Barry Bonds Runs per Game
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Homework Problem 3
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Homework Problems 4
Test Questions 1 and 2
Test Question 3
Test Question 4
Module 2
2.1 Excel Range Names
2.2 Excel Tables
2.3 Conditional Formatting: Top Bottom Rules
2.4 Conditional Formatting: Data Bars
2.5 Conditional Formatting: The Formula Option
2.6 COUNTIF and COUNTIFS functions
2.7 SUMIF and SUMIFS Functions
2.8 AVERAGEIF and AVERAGEIFS Functions
2.9 PivotTables I
2.10 PivotTables II
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Homework Problem 5
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Homework Problem 6
Test Question 5
Test Question 6
Module 3
3.1 Monte Carlo Simulation I
3.2 Monte Carlo Simulation Part II
3.3 Monte Carlo Simulation Part III
3.4 Baseball Monte Carlo simulation
3.5 Resampling
3.6 Deflategate
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Homework Problem 8
Test Question 7
Test Question 8
Module 4
4.1 Bunting and Expected Runs
4.2 Base Stealing
4.3 Range Factor
4.4 UZR (Ultimate Zone Rating) and Fielding
4.5 Introduction to Fan Graphs
4.6 DIPS (Defense Independent Pitching Statistics)
4.7 Win Probability Added
4.8 Runs above Average
4.9 WAR (Wins above Replacement)
4.10 What Makes your Team Win?
4.11 Defensive Shifts
4.12 Catcher Framing
4.13 Park Factors
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Homework Problem 9
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Homework Problem 10
Homework Problem 11
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Homework Problem 12
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Homework Problem 13
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Homework Problem 14
Test Question 9
Test Questions 10&11
Test Question 12
Test Question 13
Test Question 14
Module 5
5.1 Random Variables
5.2 The Normal Random Variable
5.3 Streakiness
5.4 What makes NFL teams win?
5.5 Deconstructing the NFL QB rating
5.6 Football States and Values
5.7 Football Decision Making
5.8 The Belichick Decision
5.9 Text functions and Analyzing NFL plays
5.10 Texans 1st and 10 Play Selection
5.11 STDEVIF and Too Many Field Goal Attempts
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Homework Problem 15
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Homework Problem 16
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Homework Problem 17
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Homework Problem 18
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Homework Problem 19
Test Question 15
Test Question 16
Test Question 17
Test Question 18
Test Question 19
Module 6
6.1 Game Theory Part I
6.2 Game Theory Part II
6.3 Basketball Shot Selection
6.4 Effective Field Goal Percentage (EFG)
6.5 Hollinger Team Metrics
6.6 Four Factors
6.7 Basketball Box Score Models
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Homework Problem 20
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Homework Problem 21
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Homework Problem 22
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Homework Problem 23
Test Question 20
Test Question 21
Test Question 22
Test Question 23
Module 7
7.1 Extracting Lineup data and Computing raw + -
7.2 Computing Pairs Lineup Statistics
7.3 Adjusted + -
7.4 ESPM RPM (Real Plus Minus)
7.5 How Analytics Helped the Mavs beat the Heat
7.6 SportsVu data
7.7 In Game Basketball Decision-Making
7.8 Hack a Jordan (or Dwight)
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Homework Problem 24
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Homework Problem 25
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Homework Problem 26
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Homework Problem 27
Test 24
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Test 27
Module 8
8.1 Rating NFL teams
8.2 Computing Strength of Schedule
8.3 Rating NFL Offenses and Defenses
8.4 Multiplicative Rating Models for Soccer
8.5 Regularization
8.6 Simulating the NCAA Tournament
8.7 NCAA Props Bets
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Homework Problem 28
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Homework Problem 29
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Homework Problem 30
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Homework Problem 31
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Homework Problem 32
Test 28
Test 29
Test 30
Test 31
Test 32
Module 9
9.1 Method of Maximum Likelihood
9.2 Rating Teams Based on Wins and Losses
9.3 Simulating the NFL Playoffs
9.4 Rating NASCAR Drivers
9.5 How Good are NFL Point Spreads
9.6 Relating the Money Line to Point Spreads
9.7 How Can you tell if a Betting System is Successful?
9.8 Props Bets I
9.9 Props Bet II
9.10 Props Bet III
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Homework Problem 33
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Homework Problem 34
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Homework Problem 35
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Homework Problem 36
Test 33
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Test 36
Module 10
10.1 Kelly Growth Part I
10.2 Kelly Growth Part II
10.3 Kelly Growth Part III
10.4 Regression to the Mean
10.5 Daily Fantasy Sports Part I
10.6 Daily Fantasy Sports Part II
10.7 Golf Analytics
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Homework Problem 37
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Homework Problem 38
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Homework Problem 39
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Homework Problem 40
Test 37
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Test 39
Test 40
Final Exam
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Final Exam
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