Programming for Data Analysis

(2 Credits)

Understanding code-based approaches to data analysis provide researchers with career opportunities, as well as the ability to conduct reproducible, rigorous research without having to invest in expensive software. R is a widely used language for data science and statistical analysis and provides researchers with tools to unlock insights from their data. This class will introduce students to R using the RStudio development environment, walk them through features and functions of the program to complete original analysis on a dataset of their choosing.