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.
Faculty/Staff workshop
We use data every day, but are we handling it safely in the age of AI and analytics? Explore real-world scenarios and practical strategies to protect data while making the most of AI and analytics in your teaching, research, and everyday work.
Thursday, September 10th 11:00 – 11:45am, ELC Center room (256)
Instructor: Jocelyn Zhao (Institutional Research and Decision Support Analyst), Rita Liu (Director, Institutional Research), Doug LeBlanc (Data Analytics Engineer)
Co-Sponored with the Office of Institutional Research and Analytics
Students,Faculty, and Staff workshop
Connecting to data, building effective visualizations and choosing the right types in Tableau.
Part 1: Monday, September 14th, 11:00 – 11:45am, Walls Lounge (213) ELC
Instructor: Mike Latorre (Data Analytics Architect)
Co-Sponored with the Office of Institutional Research and Analytics
Faculty/Staff workshop
Can U.S. News rankings be predicted? By analyzing historical ranking data, this conversation will explore what the rankings really measure, which institutional characteristics drive the results, and whether a college’s future ranking is more predictable than we might think.
Monday, September 28, 11:00 – 11:45am, Walls Lounge (213) ELC
Instructors: Jocelyn Zhao (Institutional Research and Decision Support Analyst), Kevork Horissian (Associate Vice President, Chief Analytics Officer)
Co-Sponored with the Office of Institutional Research and Analytics
Student workshop
Have you ever puzzled through a course syllabus wondering how you can calculate your own final grade? You can do it in Google Sheets! Join us for this workshop teaching you about how to navigate Google Sheets, add basic formulas, and structure a workbook so that you have a dynamic tool to calculate your grades.
Tuesday, September 29th, 4:30 – 6:00pm, location TBD
Instructors: Claire Cahoon (Data Scientist) and Peter Brooksbank (Presidential Professor of Mathematics)
Students,Faculty, and Staff workshop
An introduction to machine learning, including regression, classification, and clustering.
Tuesday, October 29th, 4:30 – 6:00pm, location TBD
Instructors: Rajesh Kumar (Associate Professor of Computer Science)
Student workshop
How do you turn a regular old bar chart into a visualization that tells a story? No matter what tool you use, your chart, color, layout, and text choices will have a huge impact on how people see your data. In collaboration with the Samek Art Museum’s “Printing Black America: Du Bois’s Data Portraits in the 21st Century” collection, this workshop will cover design best practices for visualizations made on any platform. No laptop and no experience with data visualization tools is required.
Tuesday, November 3rd, 4:30 – 5:30pm, location TBD
Instructors: Claire Cahoon (Data Scientist) and Kala Brzezinski (Public Programs & Outreach Manager, Samek Museum)
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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