Come explore data science tools and methods in a fun, relaxed environment. Everyone is welcome! Those with little or no data experience are especially encouraged to participate.
Want to make your data visualizations stand out? No matter what tool you use, your chart, color, and text choices will have a huge impact on how people interpret your results. This workshop will cover design best practices useful for any platform, so no experience with data visualization tools is required.
Pizza and cookies provided!
Tuesday, September 9, 2025 4:30-6:00pm, Taylor 210
Slides: Designing Data Visualizations
Instructor: Claire Cahoon (Digital Pedagogy & Scholarship Specialist)
Co-sponsored by Library Services
Learn how to create three commonly used data visualizations in Google Sheets and Datawrapper. No prior expertise required! Please bring a laptop.
Pizza and cookies provided!
Tuesday, September 16, 2025 4:30-6:00pm, Bertrand Library Lab 025 (lower level 1)
Workshop materials:
Instructor: Katie Akateh (Research Data Services Specialist)
Co-sponsored by Library Services
This workshop will cover the basics for creating a finished Tableau visualization. Topics include connecting to your data, choosing the right visualization, formatting, applying interactive filters, and combining visualizations into a user-friendly dashboard.
Lunch buffet provided!
Thursday, September 25, 2025 11:30 – 1:00pm, Academic West Computer Lab (204)
Instructor: Doug LeBlanc (Data Analytics Engineer)
Co-sponsored by the Office for Institutional Research and Analytics
Faculty/Staff workshop
Thursday, November 6th, 4:30 – 6:00pm, Taylor 208
This workshop explores how Large Language Models (LLMs) can make course design in higher education more efficient and enjoyable. Participants will discover how generative AI tools can reduce time spent on routine preparation, freeing up more energy for the creative and rewarding aspects of teaching—such as fostering curiosity, designing engaging learning experiences, and connecting meaningfully with students. The session highlights practical strategies for integrating LLM-driven approaches that enhance both teaching efficiency and learning engagement. Through concrete demonstrations, we will be
By walking through real-world examples, attendees will see how AI-generated suggestions can be turned into class discussions, student activities, or assessment opportunities. We will also reflect on both the benefits and the limitations of these emerging tools.
By the session’s end, participants will have actionable ideas for incorporating LLMs into course design across disciplines. The goal is to enrich the learning experience by stimulating student curiosity, supporting problem-solving creativity, and equipping educators with a forward-thinking toolkit to use in their own teaching.
Instructor: Dr. Chester Ismay
Let us know what you thought about the workshops! Please fill out the survey separately for each workshop you attended.
We value your honest feedback, both positive and negative.
Looking for a past workshop? See each past semester’s page for more information:
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