Welcome to the Tidyverse: Reproducible Data Science with R (ADDED FEE) — Professional Development Continuing Education Course
This hands-on workshop will teach you an efficient workflow for doing end-to-end data science with the R programming language. You'll learn to access data from a variety of sources (including csv files, excel spreadsheets, and databases); to visualize, transform, and model data with R's Tidyverse, which is a core set of R packages built for modern data science; and to communicate your results with R Markdown, R's authoring format for reproducible research. Along the way, you will focus on practices that make your work more reproducible, and hence easier to replicate, share, hand off, automate, schedule, rerun with new data, and resume after a hiatus. Bring your laptop!
The workshop will be led by Garrett Grolemund, RStudio's Master Instructor and the co-author of R for Data Science and R Markdown: The Definitive Guide. I will assume that you have a very basic knowledge of how to run commands with R.