Day | Month | Workshop |
---|---|---|
02 | Jan | Happy New Year! No lab this day |
09 | Jan | No lab this day. Go outside! |
16 | Jan | Abbreviated hybrid open lab (10-11 am) |
23 | Jan | Hybrid open lab |
30 | Jan | Writing functions in R |
06 | Feb | Hybrid open lab |
13 | Feb | Data science: more fun, less pain with tidyverse |
20 | Feb | Hybrid open lab |
27 | Feb | Data science: more fun, less pain with Python |
05 | Mar | Hybrid open lab |
12 | Mar | Introduction to data visualization with ggplot |
19 | Mar | Hybrid open lab |
26 | Mar | A brief introduction to species distribution modeling |
02 | Apr | Hybrid open lab |
09 | Apr | Your first machine learning application |
16 | Apr | Hybrid open lab |
23 | Apr | Git and GitHub with RStudio |
30 | Apr | Hybrid open lab |
07 | May | Hybrid open lab |
All sessions will be 9-11 AM on Tuesday morning (MST) in hybrid format: we will be in the Data Studios of the Main Library and running a concurrent Zoom session.
For information on connecting to online sessions, reach out to us on the r channel of the UA Data Science Slack workspace or contact Jeff Oliver.
To get the most out of these workshops, participants should bring a laptop with R and RStudio installed.
If you have questions about the schedule, or are interested in learning about a particular topic in R, contact Jeff Oliver at jcoliver@arizona.edu.