Register to participate in 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. A description of each session is provided below:
Register for Session 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.
Register for Session 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.
Register for Session 3: Advance your skills in "Data Exploration in R with tidyverse," focusing on data summarization and the art of visualization with ggplot2.
Register for Session 4: Complete your bootcamp with "Data Wrangling in R with tidyverse," mastering sophisticated data manipulation and cleaning techniques to tackle more complex data challenges.
Each workshop builds on the last, ensuring a comprehensive understanding and practical application of R for data analysis.
By the end of this workshop, learners 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
The target audience for this workshop series is beginners and intermediates in data science, particularly those interested in learning R programming for data importation, exploration, cleaning, and visualization.