Description: Participate in our very first R Bootcamp Week 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.

• 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.

By the end of this bootcamp week, you should be able to:

• Use the RStudio Server to create Quarto Markdown documents that combine R code with output and text
• Use R to import and examine data
• Produce numerical and graphical summaries of a data set and its variables
• Perform basic data cleaning and management with R

Target Audience: This workshop series is for beginners and intermediates in data science, particularly those interested in learning R programming for data importation, exploration, cleaning, and visualization.

Class level: novice

This class will be recorded and shared with attendees.

Class materials will be shared with attendees.