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.
ofrecido por
Math behind Moneyball
University of HoustonAcerca de este Curso
7208 vistas recientes
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Nivel principiante
Aprox. 65 horas para completar
Inglés (English)
Subtítulos: Francés (French), Portugués (europeo), Ruso (Russian), Inglés (English), Español (Spanish)
Habilidades que obtendrás
- Statistics
- Analytics
- Microsoft Excel
- Probability
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Nivel principiante
Aprox. 65 horas para completar
Inglés (English)
Subtítulos: Francés (French), Portugués (europeo), Ruso (Russian), Inglés (English), Español (Spanish)
ofrecido por
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.
Programa - Qué aprenderás en este curso
3 minutos para completar
Before you start...
3 minutos para completar
1 video (Total 2 minutos), 1 lectura
7 horas para completar
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 horas para completar
11 videos (Total 90 minutos), 22 lecturas, 3 cuestionarios
6 horas para completar
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 horas para completar
10 videos (Total 76 minutos), 23 lecturas, 2 cuestionarios
4 horas para completar
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 horas para completar
6 videos (Total 71 minutos), 10 lecturas, 2 cuestionarios
8 horas para completar
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 horas para completar
13 videos (Total 88 minutos), 27 lecturas, 5 cuestionarios
Reseñas
Principales reseñas sobre MATH BEHIND MONEYBALL
por SP25 de jul. de 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.
por YH18 de jul. de 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
por HH5 de feb. de 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.
por TD19 de oct. de 2020
Very interesting course. Great way to get to know how analytics departments behind the scenes of professional sports work.
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