Schedule
Tentative schedule of upcoming workshops
Day | Month | Workshop |
---|---|---|
30 | Jul | Hybrid open lab |
06 | Aug | Hybrid open lab |
13 | Aug | Hybrid open lab |
20 | Aug | Hybrid open lab |
27 | Aug | Hybrid open lab |
03 | Sep | Hybrid open lab |
10 | Sep | Introduction to data visualization with ggplot |
17 | Sep | Hybrid open lab |
24 | Sep | Introduction to R statistics |
01 | Oct | Hybrid open lab |
08 | Oct | Data science: more fun, less pain with tidyverse |
15 | Oct | Hybrid open lab |
22 | Oct | Git and GitHub with RStudio |
29 | Oct | Hybrid open lab |
05 | Nov | Machine learning in R part 1: regression |
12 | Nov | Hybrid open lab |
19 | Nov | Interactive web apps with Shiny |
26 | Nov | Hybrid open lab |
03 | Dec | Introduction to geospatial data in R |
10 | Dec | Hybrid open lab |
17 | Dec | Hybrid open lab |
24 | Dec | No lab this day |
31 | Dec | Happy New Year (no lab this day) |
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.