Data Analysis and Biostatistics with R

(4 Credits)

This course provides students an introduction to R programming and biostatistics so that they can appropriately analyze data generated in the lab. The course covers fundamental topics in biostatistics including estimation, hypothesis testing, correlation, regression, and experimental design. Students will use the R Studio programming environment to implement the methods taught. Classes will be a mix of lectures and lab, providing students the opportunity to work individually on their laptop and code throughout the lecture.