In this News @ Wesleyan story, we speak with Joli Holmes from the Class of 2017. She is one of 24 students in the Quantitative Analysis Center’s Summer Apprenticeship Program.
Q: Joli, what is your major and what’s your specific area of interest?
A: I’m an economics major. I’m particularly interested in studying investment-related practices from an environmental and social perspective.
Q: Have you worked in the Quantitative Analysis Center before this summer?
A: I’ve taken a lot of classes through the QAC, including “Working with R,” “Excel with Visual Basic for Applications,” and “Python.” These are all classes on how to use statistical software, which also cover some statistical analysis topics.
Q: What does an average day look like in the QAC Apprenticeship Program?
A: We start our days at 8:30, and have class for an hour and a half. The classes are taught by Emmanuel “Manolis” Kaparakis, [director of Centers for Advanced Computing], Pavel Oleinikov, [associate director of the Quantitative Analysis Center, visiting assistant professor of quantitative analysis], and Jen Rose, [research professor of psychology]. The topics of these classes really vary. We cover everything from basic statistics – like how to do a simple linear regression and looking at correlations – to different types of clustering and factor analysis. In the future we might do some latent variable analysis. They make sure all the students have a good foundation, and then cover advanced topics. In these lessons, we work with statistical software and example data sets. For the rest of the day, we work on our individual research projects.