Introduction to Statistical Programming in R

(2 Credits)

R is one of the most popular programming languages in statistics and data science. This course will introduce various R programming topics, including data visualization, exploration, and transformation, via illustrations with public health datasets. Students will learn how to program in R effectively and efficiently for data analysis with popular R packages including dplyr, tibble, readr, and ggplot2. By the end of the course, students will be able to write R codes from scratch for data visualization, exploratory analysis, transformation, and import & export. This course does not require prior experience in programming or statistics and serves as a foundation for other courses in biostatistics, epidemiology, and data science. Students are recommended to take the follow-up course: Intermediate Statistical Programming in R.