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.
提供方
《点球成金》背后的数学理论
University of Houston课程信息
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初级
完成时间大约为65 小时
英语（English）
字幕：法语（French）, （欧洲人讲的）葡萄牙语, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）
您将获得的技能
StatisticsAnalyticsMicrosoft ExcelProbability
可灵活调整截止日期
根据您的日程表重置截止日期。
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
初级
完成时间大约为65 小时
英语（English）
字幕：法语（French）, （欧洲人讲的）葡萄牙语, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）
提供方
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.
授课大纲 - 您将从这门课程中学到什么
完成时间为 3 分钟
Before you start...
完成时间为 3 分钟
1 个视频 （总计 2 分钟）, 1 个阅读材料
完成时间为 7 小时
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.
完成时间为 7 小时
11 个视频 （总计 90 分钟）, 22 个阅读材料, 3 个测验
完成时间为 6 小时
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.
完成时间为 6 小时
10 个视频 （总计 76 分钟）, 23 个阅读材料, 2 个测验
完成时间为 4 小时
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.
完成时间为 4 小时
6 个视频 （总计 71 分钟）, 10 个阅读材料, 2 个测验
完成时间为 8 小时
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.
完成时间为 8 小时
13 个视频 （总计 88 分钟）, 27 个阅读材料, 5 个测验
审阅
来自《点球成金》背后的数学理论的热门评论
由 SP 提供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.
由 YH 提供Jul 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
由 HH 提供Feb 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.
由 TD 提供Oct 19, 2020
Very interesting course. Great way to get to know how analytics departments behind the scenes of professional sports work.
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