Monday, July 7, through Thursday, July 10, noon-1:30 p.m., Online
Taught by Jenna Carlson
Join us for our R Bootcamp for a deep dive into R programming. The bootcamp unfolds through a series of focused sessions that cover the entire data analysis process, from importing and cleaning data to sophisticated data manipulation and visualization techniques using the tidyverse package. Each workshop builds on the last, ensuring a comprehensive understanding and practical application of R for data analysis.
Learners are encouraged to attend all three sessions, as they build on each other.
Day 1: In “Introduction to R, RStudio, and Quarto Markdown,” you’ll familiarize yourself with the RStudio interface and learn to create integrated Quarto Markdown documents.
Day 2: “Data Centric R with tidyverse” offers an exploration into R’s data types and the analytical prowess of the tidyverse package, broadening your data analysis capabilities.
Day 3: Advance your skills in “Data Exploration in R with tidyverse,” focusing on data summarization and the art of visualization with ggplot2.
Day 4: Complete your bootcamp with “Data Wrangling in R with tidyverse,” mastering sophisticated data manipulation and cleaning techniques to tackle more complex data challenges.
Target Audience: This workshop series’ target audience is data science beginners and intermediates, particularly those interested in learning R programming for data importation, exploration, cleaning, and visualization.
Level: Novice
Prerequisites:Installation of R/RStudio
What you should do before attending this class: If you do not have any previous knowledge of R/RStudio, or do not have it downloaded on your computer, please follow the instructions given in the Overview File. It is important you complete this before the first day. The document will also provide links to additional help and resources for R programming.
Recording status: This class will be recorded and shared with attendees.
Class Materials: Class materials will be shared with attendees.