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Summer Scholars

Sports Analytics and Statistics

In this course, students will be provided an introduction to basic statistical concepts and methods of statistical inference, while incorporating these concepts into sports related topics. During this course, you will learn about data collection, organization and presentation of data. Along with learning how to calculate values by hand, you will be learning how to use RStudio to compute these values and understand them in respect to sports analytics.

“If you challenge conventional wisdom, you will find ways to do things much better than they are currently done.” – Michael Lewis, Author Moneyball

Jesse Taylor, Lecturer
School of Mathematical and Statistical Sciences

Required Course Material:  

Class Timeline: 

Monday: Introduction to Data and Displaying Data 
Tuesday: Summarizing and Describing Data 
Wednesday: Probability and Probability Distributions  
Thursday: Statistical Inference with Confidence Intervals and Hypothesis Testing 
Friday: Project Presentations