Summary
Workshop Series available on Campus on R and Python. (For more details see further below.)
– UW Libraries – Steenbock Library Workshops
– UW Data Science Hub / Software Carpentry
– Social Science Computing Cooperative (SSCC)
Steenbock Library Workshops
See details on announcement page: Learn how to use Python and/or R programming languages for data analysis (via Zoom) for details on each workshop.
Open to all UW-Madison students, faculty, and staff.
Registration required: Registration is by workshop, not for the entire series.
Note: These courses are popular and tend to fill quickly.
Send questions to workshop organizers emails listed on page Learn how to use Python and/or R programming languages for data analysis.
- R series details: researchguides.library.wisc.edu/R
Date & Time | Topic: R programming | Register |
---|---|---|
Friday, September 19, 10am-12pm | R Programming: R Basics | go.wisc.edu/2zo751 |
Friday, September 26, 10am-12pm | R Programming: R Basics (repeat) | go.wisc.edu/wdcuc8 |
Friday, October 3, 10am-12pm | R Programming: Data Wrangling | go.wisc.edu/6qux10 |
Friday, October 10, 10am-12pm | R Programming: Data Visualization | go.wisc.edu/f7n0ww |
Friday, October 17, 10am-12pm | R Programming: Reports | go.wisc.edu/qv5hdj |
Friday, October 31, 10am-12pm | R Programming: Organizing Your Projects with GitLab + RStudio | go.wisc.edu/4dye27 |
- Python series details: researchguides.library.wisc.edu/python
Date & Time | Topic: Python programming | Register |
---|---|---|
Tuesday, September 16, 10am-12pm | Python Programming: Introduction | go.wisc.edu/347618 |
Tuesday, September 23, 10am-12pm | Python Programming: Introduction (repeat) | go.wisc.edu/7l4l52 |
Tuesday, September 30, 10am-12pm | Python Programming: Loops, Lists, and Functions | go.wisc.edu/74uf02 |
Tuesday, October 7, 10am-12pm | Python Programming: Spreadsheets and Data Manipulation | go.wisc.edu/d5cg1r |
Tuesday, October 14, 10am-12pm | Python Programming: Data Visualization with Seaborn | go.wisc.edu/95k294 |
Data Science Hub
The Data Science Hub collect a larger set of training material list on: datascience.wisc.edu/training-resources/ that also include workshops offered as Software Carpentry or Data Carpentry options.
The easiest way to be informed is to subscribe to their newsletter.
Software Carpentry (Hosted by Data Science Hub)
Many workshops are offered either online and on occasion in person at the Orchard room of the Wisconsin Institute of Discovery (WID.) The next series will be held online:
All sessions run from 9:00 AM to 1:00 PM (CT) and will be held via Zoom. Topics include the Unix Shell (Oct 1), Git & GitLab (Oct 15 & 16), introduction to Docker/Podman (Oct 22 & 23), and interactive data visualization in Python (Oct 29). Register and find more information at the workshop webpage.
(Questions? Reach out to the Data Science Hub at facilitator@datascience.wisc.edu )
Coding Meet-up
A very useful option is the free Coding Meetup help: Tuesdays and Thursdays, 2:30–4:30 p.m. CT.
Come to Coding Meetup to ask questions about tools you learn about, how to apply coding tools to your work, troubleshoot coding bugs, or anything else related to your data or code. We also welcome additional helpers at Coding Meetup, if you’d like to help answer questions that come up.
Social Science Computing Cooperative (SSCC)
See complete listing at https://sscc.wisc.edu/sscc_jsp/training/
Workshops started in August but most of the material is available online at https://kb.wisc.edu/sscc/.
For example “Data Wrangling with R” is at https://sscc.wisc.edu/sscc/pubs/dwr/