You can find the list of workshops for the upcoming semester at the following link.
The Digital Scholarship Workshop Series in Campus Groups
If no workshops appear, it means we haven't posted the coming semester's events for registration yet.
Self-guided, interactive tutorials are currently being built using Jupyter Notebooks and Github Pages.
These tutorials mirror the content in the hands-on workshops and provide an alternative for people who cannot make it to the Library for these events.
The index for the available courses can be found here:
Please keep in mind that these resources are constantly under construction. If you encounter any errors, have any feedback, or need help getting started, please use the EMAIL ME button on the right sidebar and I will get in touch with you as soon as possible.
Using LLMs (Large Language Models) for Research and Instruction
LLMs: Retrieval Augmented Generation
Open Source: What does it mean? Why is it important?
What is Python? Why should I use it?
BYOD (Bring Your Own Data) Workshop
Finding, Preparing and Exploring Data
R: Text-mining with Tidytext
R: Advanced Graphing with ggplot
R: Intro to Mapping
R: Mapping Census Data
R: Graphing Data with TidyverseR: Mapping Data with Tidyverse
Python: Web Scraping
Python: Graphing with Plotly
Python: Assessing and Cleaning Data with Pandas
Python: Text-mining with Constellate
Python: Intro to Text Analysis