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When & Where
Date: 
Mon, August 10, 2020 - 8:30 AM to 1:00 PM
Tue, August 11, 2020 - 8:30 AM to 1:00 PM
Wed, August 12, 2020 - 8:30 AM to 1:00 PM
Location: 
Online via Zoom
Description
Type: 

Co-sponsored by the UC Berkeley Statistics Department and the D-Lab. This will be a virtual version of the usual two-day in-person workshop we hold in August every year.

Note that the tentative times are 8:30 am - 1 pm Monday August 10 - Thursday August 13, but the exact time on each day may shorten or shift a bit. A change to the earlier announcement is that the last day will be Thursday not Friday. IMPORTANT: the Thursday session is (for some reason) not showing up in the dates listed above.

The workshop will be an intensive four-session introduction to R using RStudio. Some of the sessions 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 [UNDER CONSTRUCTION].  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. While the content in the modules directory of the course website has not been updated from last year to reflect the virtual event this year, you can still look at it to get a good idea of the content we will cover.

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 132 or 133. 

 

If you only want access to the recorded material and don't plan to attend any of the Zoom sessions in person, please fill out this form (we have a limit on the number of simultaneous Zoom participants).

 

 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.

Cancelling your registration: If you have registered and realize you cannot attend, PLEASE cancel your registration here so that we can let people on the wait-list attend. Questions? Email r-bootcamp@lists.berkeley.edu.

Co-sponsors: D-Lab and the Statistics Department

Primary Tool: 
R
Details
Training Host: 
D-lab Facilitator: 
Evan Muzzall
Format Detail: 
Interactive, hands-on
Participant Technology Requirement: 
Laptop

Mixed Learning Levels

All learning levels welcome.

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