This class was tough.
This course will serve as an introduction to sports analytics for students of all backgrounds. We will use ideas popularized from such readings as Moneyball and similar references on sports analytics to examine questions such as: "Who is the best QB in the NFL? Is there such a thing as home field advantage? And if so, why? Should football coaches go for it more on 4th down?" This course will use very simple math and an assortment of popular readings to demonstrate the power of analytics to analyze sports. Students will not need any advanced skills above basic algebra to understand the concepts in this course.
Topics include descriptive statistics, data visualization, probability distributions, sampling, confidence intervals, hypothesis testing and linear regression
Hours per week:
Advice for students:
The goal is to help students become more familiar and more interested in problem solving and quantitative methods. Many students already spend much of their time following and participating in sports. We will use sports examples to introduce the power and relevance of formal problem solving and quantitative methods