schedule.qmd

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title: Schedule
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# Tentative schedule of upcoming workshops

| Day | Month | Workshop                           |
|:---:|:-----:|:----------------------------------:|
| 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   | Python Takeover: **Reading Python for Beginners** |
| 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   | Hybrid open lab                    |
| 26  | Nov   | Hybrid open lab                    |
| 03  | Dec   | Hybrid open lab                    |
| 10  | Dec   | Introduction to geospatial data in R |
| 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](https://lib.arizona.edu/study/spaces/data-studio) 
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](https://jcoliver.github.io/uadatascience-slack/) 
or contact Jeff Oliver.

To get the most out of these workshops, participants should bring a laptop with 
[R and RStudio installed](https://jcoliver.github.io/learn-r/000-setup-instructions.html).

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](mailto:jcoliver@arizona.edu?subject=R%20workshop%20inquiry).