UC Davis DataLab
Fall 2024
Instructors: Michele Tobias, Wesley Brooks
Maintainer: Nick Ulle <naulle@ucdavis.edu>
The reader for this workshop is here.
This 4-part workshop series provides an introduction to using the R programming language for reproducible data analysis and scientific computing. Topics include programming basics, how to work with tabular data, how to break down programming problems, and how to organize code for clarity and reproducibility.
After this workshop, learners will be able to load tabular data sets into R, compute simple summaries and visualizations, do common data-tidying tasks, write reusable functions, and identify where to go to learn more.
No prior programming experience is necessary. All learners will need access to an internet-connected computer and the latest version of Zoom, R, and RStudio.
See CONTRIBUTING.md for details about how to contribute to
this reader.