Event box
R Open Lab: semi-structured opportunities for learning R
Part of the Rfun learning series
Come once or come each week: This six-week, semi-guided hour provides a safe and comfortable environment for learning more about the R programming language, RStudio, and the Tidyverse. The curriculum is based on the Master the Tidyverse workshop. The series goal is to enable researchers and students a low-stress hour to hone your own data savvy skills. Attendees will gain greater familiarity with a tool-suite designed to foster reproducibility and transparency vital for the researcher's workflow.
In the first meeting we will introduce R, RStudio and the Tidyverse as well as outline several self-directed learning resources (below). Follow and join any of the the remining weekly sessions. Each week covers a new topic in the Master the Tidyverse series. Reinforcement is on-your-own through self-directed resources. Assignments are optional. Intermediate and advanced users will, optionally, design your own curriculum and benefit from interacting and supporting a helpful network of campus R users.
- R for Data Science by Hadley Wickham & Garrett Grolemund (select chapters, workbook problems, and solutions)
- the RStudio interactive R Primers
- Advanced R by Hadley Wickham (select chapters and workbook problems)
- the interactive dataquest.io learning series on R
- Master the Tidyverse
Event Dates are all on Mondays: Jan. 13, Feb. 3, Feb. 10, Feb. 17, Feb. 24, March 2.
See our FAQ for more information.
NOTE: Bring your laptop. The Edge Workshop Room does not provide computers.
NOTE 2: If you need help configuring your laptop for this workshop, come to the DVS Walk-In Hours before the workshop: Wednesdays between 1-3pm. (Floor Map for Bostock Library > 1st Floor > Brandaleone Lab for Data and Visualization Services.)
- Date:
- Monday, February 10, 2020
Show more dates
Monday, February 17, 2020
Monday, February 24, 2020
Monday, March 2, 2020
- Time:
- 6:00pm - 7:00pm
- Location:
- Bostock 127 (The Edge Workshop Room)
- Campus:
- West Campus
- Categories:
- Data and Visualization