New York University 1 credit Global Public Health
R is among the leading programming languages in the realms of statistics and data science. This course will cover essential topics such as R objects, data visualization, data import & export, and data manipulation. Students will learn how to program in R effectively and efficiently for data analysis with popular R packages including tibble, ggplot2, readr, and dplyr. By the end of the course, students will have the ability to craft R scripts independently, capable of performing sophisticated data visualization, manipulation, and both import and export operations. 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.
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