Biostatistics 690R - Advanced R for Data Science

R has emerged as a preferred programming language in data science. This course covers topics in R programming to develop powerful, robust, and reusable data science tools. Main topics include data wrangling, visualization and modeling; advanced programming; constructing R packages with documentation and unit test functions. We will use base R and a range of R packages from the tidyverse family. Workflow in data science projects, reproducible research, and how to use Github for collaborative projects will also be discussed. Students will gain hands-on experience through in-class coding activities, homework assignments and a final group project which will involve building an R package from scratch.