Welcome to the webpage for the 2018 Wharton Moneyball Academy course on data analysis in R. In this course, you will learn the tools necessary to apply the concepts you learn in Prof. Wyner’s class while analyzing real sports datasets using the R programming language.
The instructors will spend the first hour or so of each class introducing new R functionality and programming concepts. After that, you’ll have a chance to try out these concepts with several exercises, which we will review at the end of class.
Please bookmark this site and check back regularly before the program starts for updates!
We know that y’all are very excited about the program and we’ve come up with a short assignment for you to work on before you arrive. Problem Set 0 contains instructions for downloading and installing R and RStudio, which you should do prior to arrival. It also contains a very brief introduction to the R programming language with some simple exercises, and several questions that will motivate the concepts you’ll be exploring in Prof. Wyner’s class. Don’t worry if you don’t finish working your way through these exercises before you arrive. On the first night (Sunday July 8), you’ll meet with your project team and RTA to discuss them. As we approach the start of camp, please check back for periodic updates to the site.
Sameer Deshpande completed his PhD in Statistics at Wharton. He is broadly interested in Bayesian statistics. Before coming to Wharton, he studied math at MIT. He loves all Dallas sports teams, but is especially passionate about the Cowboys.
Raiden Hasegawa is a 5th year Ph.D. student in the Statistics Deaprtment at Wharton. He is interested in causal inference. He studied at Yale University and before coming to Wharton he spent time as a quantitative energy trader and research associate at the New York Federal Reserve Bank. Born and raised just outside of Chicago, he loves all Chicago sports … except the Cubs.
Gemma Moran is a 5th year Ph.D. student in the Statistics Department at Wharton. Hailing from Australia, her preferred football is Aussie Rules but we won’t hold that against her. Before coming to Wharton, Gemma studied mathematics and statistics at the University of Sydney. She is interested in Bayesian statistics and applications in genomics.