The R Bootcamp is a series of four hands-on R workshops that will provide the participant with the knowledge of key foundational concepts necessary for analyzing and understanding data within R. The Bootcamp will introduce the RStudio interface, the basics of programming in R, how to clean and organize data in R, and how to visualize data in R. Bootcamp participants will gain the foundational skills necessary to conduct several data science and data analysis tasks within R.

Data analysis involves a large amount of preparing, cleaning, and "munging" data to facilitate downstream data analysis. This workshop is designed for those with a basic familiarity with R who want to learn tools and techniques for data manipulation. Upon completing this lesson, participants will be able to use the dplyr package in R to effectively manipulate and conditionally compute summary statistics over subsets of a "big" dataset containing many observations. This session will be taught via Zoom: a link to the Zoom session will be sent in the confirmation and reminder emails.

Pre-requisites: attendance at Introduction to R or working knowledge of R/RStudio