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.
For students and faculty/staff
An introduction to version control using Git and GitHub, focusing on reproducible research, collaboration, and teaching workflows. Faculty, staff and research students are welcome, no prior Git experience required.
Registration for this workshop is required! Please bring a laptop.
Tuesday, May 26th, 2026 2:30-4:00pm, Taylor Hall 203
Wednesday, May 27th, 2026 2:30-4:00pm, Taylor Hall 203
Instructor: Kalyan Rallabandi (Assistant Professor of Markets, Innovation, & Design)
For students and faculty/staff
Jumpstart your data analysis with a bootcamp that covers how to do common analysis tasks using the statistical software, R. In this workshop, we will cover graphing, wrangling, summarizing, and modeling data in R. All students are welcome and no prior R experience is required. We recommend attending all sessions as they will build on each other.
Please bring a laptop to this workshop.
Wednesday, May 27th, 2026 10:30am-noon, Taylor Hall 203
Thursday, May 28th, 2026 10:30am-noon, Taylor Hall 203
Friday, May 29th, 2026 10:30am-noon, Taylor Hall 203
Instructor: Kelly McConville (Director, Dominguez Center for Data Science)
For students and faculty/staff
Learn about how to code in Python! This workshop will cover the basics of data types, control flow, and installing libraries using Python. This workshop is appropriate for anyone who is just starting to code, refreshing their Python knowledge, or moving over from another programming language.
Please bring a laptop to this workshop.
Tuesday, June 2, 2026 2:30-4:00pm, Taylor Hall 203
Instructor: Claire Cahoon (Data Scientist, Dominguez Center for Data Science)
For students and faculty/staff
Dive into data analysis in Python using the Pandas library! Learn more about how to import, wrangle, and visualize data using the Python programming language. Some prior knowledge of Python syntax is recommended.
Please bring a laptop to this workshop.
Wednesday, June 3, 2026 2:30-4:00pm, Taylor Hall 203
Instructor: Claire Cahoon (Data Scientist, Dominguez Center for Data Science)
For students and faculty/staff
During this workshop we’ll introduce you to basic excel skills like how to write and use Excel formulas, sort and filter data, and practice using Pivot tables to summarize data. No prior Excel knowledge required.
For this workshop, you can bring a laptop with Excel installed, or use one of the lab computers.
Tuesday, June 9, 2026 2:30-4:00pm, Academic West 204
Instructor: Katie Akateh (Research Data Services Specialist, Library Services)
For faculty/staff
Workshop description coming soon.
Thursday, June 11, 2026 10:00-11:00am, Zoom
Led by The Office of Institutional Research and Analytics
For students and faculty/staff
Building upon Excel Essentials I, this workshop will focus on structuring your data for validation and insight through visualizations.
For this workshop, you can bring a laptop with Excel installed, or use one of the lab computers.
Tuesday, June 16, 2026 2:30-4:00pm, Academic West 204
Instructor: Matt Bailey (Presidential Professor of Analytics & Operations Management)
For students and faculty/staff
Bring your laptop and come and learn some useful tips and tricks for preparing documents in the scientific word-processing system LaTeX. Among other things, we will cover various ways that you can engage with the software (e.g. online vs offline), and how you can leverage AI technology to increase quality and efficiency.
Tuesday, June 23, 2026 2:30-4:00pm, Taylor 203
Instructor: Peter Brooksbank (Presidential Professor of Mathematics)
For students
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.
Tuesday, June 30, 2026 2:30-4:00pm, Taylor Hall 203
Instructor: Claire Cahoon (Data Scientist, Dominguez Center for Data Science)
For students
Once you have analyzed your data, how do you communicate your results to a broad audience and in an engaging way? This workshop will cover how to tell stories with data and how to design engaging slides.
Participants should bring two slides related to their in-progress data work for an activity. Participants will need a laptop.
Tuesday, July 7, 2026 2:30-4:00pm, Taylor Hall 203
Instructor: Kelly McConville (Director, Dominguez Center for Data Science)
For students
Come destress and get creative with coding! At the event, participants will use the statistical software R to create art. No prior experience is required but please bring a laptop.
Tuesday, July 14, 2026 2:30-4:00pm, Taylor Hall 203
Instructor: Kelly McConville (Director, Dominguez Center for Data Science)
For students and faculty/staff
With Excel and Google sheets, you can see your data in nice columns and rows. What if you have millions of rows and dozens of columns? What if, for a given row and column, there’s a list of values? Even if you can’t always see the data table, the numpy, pandas and matplotlib libraries in python can be powerful tools to handle large amounts of data for analysis. This will be a guided workshop based on a Google Colab notebook.
Tuesday, July 21, 2026 2:30-4:00pm, Taylor Hall 203
Instructor: Abigail Kopec (Assistant Professor of Physics & Astronomy)
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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