See organizers’ page for details.
Co-sponsored by the UC Berkeley Statistics Department, D-Lab, and the Statewide Database at Berkeley Law.
The workshop will be an intensive two-day introduction to R using RStudio. After the first morning session, the workshop will be split into two separate tracks. Topics will include
- R basics – reading and manipulating data, working with R data objects, doing calculations, making plots
- programming in R
- doing statistics/data analysis/data science in R
- a brief intro to more advanced topics: efficiency, object-oriented programming, parallel processing in R
No prior experience with R is expected, but some familiarity with programming concepts such as variables, loops, if-then-else statements, functions, etc. will be helpful.
The course website is on Github. Course content will be available there and will be updated in real-time. The site also has instructions on how to prepare for the course, which is basically just getting the software set up on your laptop.
Registration: To attend you must register here. Priority will be given to Berkeley grad students, postdocs, staff, and faculty, followed by those affiliated with another university or government agency, then Berkeley undergrads, and finally participants from for-profit organizations. Undergraduates interested in R should consider taking Statistics 133.
NOTE: registrations will only be processed periodically so there may be a delay of up to a week in hearing back from us about whether you are registered or on the waitlist.