courseraАнализ данных

Math behind Moneyball

Курс от University of Houston

Начальный≈ 64.6 чАнглийский

О курсе

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.

Программа курса

12 модулей · 317 учебных материалов

01Before you start...2 материалов

Course Overview

All you will learnВидео Suggested Textbooks (Not Required)Чтение

02Module 136 материалов

Part 1 Introduction

Download Excel Files (Important!)Чтение

Учитесь у экспертов

Professor Wayne Winston

Visiting Professor

В каталоге вашей программы

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Обучение на Coursera

≈ 64.6 ч

12 модулей

Язык: Английский

Субтитры: Арабский, Французский, Украинский, Китайский (Китай), Греческий, Итальянский, Бразильский португальский, Нидерландский, Корейский, Немецкий, Русский, Тайский, Индонезийский, Шведский, Турецкий, Испанский, Хинди, Японский, Казахский, Польский

Math behind Moneyball

О курсе

Навыки, которые вы освоите

Программа курса

Course Overview

Part 1 Introduction

Учитесь у экспертов

Professor Wayne Winston

Part 2 Pythagorean Theorem

Part 3 Ten runs = One win

Homework Problems 1 and 2

Test Questions 1 and 2

Part 4 Runs Created

Part 5 Runs Created Per Game

Homework Problems 3

Test Question 3

Part 6 Multiple Regression 1

Part 7 Multiple Regression 2

Part 8 Linear Weights

Part 9 On Base Percentage + Slugging Percentage (OPS)

Part 10 Barry Bonds Runs per Game

Homework Problems 4

Test Question 4

Part 1 Excel Range Names

Part 2 Excel Tables

Part 3 Conditional Formatting: Top Bottom Rules and Highlight Cells

Part 4 Conditional Formatting: Data Bars, Color Scales and Icon sets

Part 5 Conditional Formatting: The Formula Option

Part 6 COUNTIF and COUNTIFS functions and Remove Duplicates

Part 7 SUMIF and SUMIFS Functions

Part 8 AVERAGEIF and AVERAGEIFS Functions

Homework Problem 5

Test Question 5

Part 9 Pivot Tables I

Part 10 Pivot Tables II

Homework Problem 6

Test Question 6

Part 1 Monte Carlo Simulation I

Part 2 Monte Carlo Simulation Part II

Part 3 Monte Carlo Simulation Part III

Test Question 7

Part 4 Baseball Monte Carlo simulation

Part 5 Resampling

Part 6 Deflategate

Homework Problem 8

Test Question 8

Part 1 Bunting and Expected Runs

Part 2 Base Stealing

Homework Problem 9

Test Question 9

Part 3 Range Factor

Part 4 UZR (Ultimate Zone Rating) and Fielding

Homework Problem 10

Homework Problem 11

Test Question 10 and 11

Part 5 Introduction to Fan Graphs

Part 6 DIPS (Defense Independent Pitching Statistics)

Homework Problem 12

Part 7 Win Probability Added

Part 8 Runs Above Average

Test Question 12

Part 9 WAR (Wins Above Replacement)

Homework Problem 13

Test Question 13

Part 10 How to Make Your Team Win?

Part 11 Defensive Shifts

Part 12 Catcher Framing

Part 13 Park Factors

Homework Problem 14

Test Question 14

Part 1 Random Variables

Part 2 The Normal Random Variable

Part 3 Streakiness

Part 4 What makes NFL teams win?

Homework Problem 15

Test Question 15

Part 5 Deconstructing the NFL QB rating

Homework Problem 16

Test Question 16

Part 6 Football States and Values