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.