Open lab and workshops

The Data Science Lab welcomes students, staff, and faculty of all disciplines and levels to collaborate on common projects. We host regular workshops and applied project open lab sessions to provide mentorship, hands on exercises and networking opportunities to help you learn and use data science as a way to solve real-world problems.

Summer Events

Pre-recorded Mini workshops

Learn some of the basics of data science in our virtual mini workshops. We will show you how to import data, build models, and interpret results using multiple techniques in the R and Python programming language.

R basics: Intro to programming in the R coding language
Python basics: Intro to programming in the Python coding language

Contact Kerri Rittschof  at and request the recording. 

Data Visualization Tableau virtual workshop

The summer 2022 half day virtual workshop, we completed hands-on training in the basics of visualizing data with Tableau, from making charts to composing dashboards. No previous experience required, but you need your own laptop. 

Missed the workshop, contact Kerri Rittschof at and request the recording. 

Lab sessions

Our open labs provide an opportunity to understand concepts and develop skills in data science. 

If you are not on our mailing list, please email to request to be added to receive information on upcoming events and the links to the sessions. 

Fall 2022 virtual labs

The series will be a set of virtual instructional and participatory events to inform on various and necessary key skills in data science.

We will meet virtually from 10 -11 a.m. (AZ time)

Wed Aug 31 - Semester kickoff. What is data science? 

Tues Sept 6 - Problem identification with Michael Simeone 

Wed Sept 21 - Using SAGE Research Methods: Data Visualization with Karalyn Ostler 

Wed Oct 19 - Using data science to compare complex systems with Shade Shutters

Wed Oct 26 - Constructing an Agent-Based Model to Explore Effectiveness of Pandemic Mitigation Efforts with Joffa Applegate 

Self-paced open projects

Interested in participating in a project? Here are four self-paced projects to choose from:. 

Chest x-ray image classifier - Classify chest x-ray images into those with pneumonia and those without pneumonia
Keywords: Image processing, neural networks, Tensorflow

Twitter stocks analysis - Correlate Twitter sentiment with the changes in stock prices
Keywords: Stocks, Twitter, sentiment analysis, NLP, statistics

Mortality prediction in medical data - Attempt to out perform our us at predicting mortality in medical data
Keywords: Medical data, machine learning, performance evaluation

Homelessness clustering - Execute various clustering algorithms on service activity of homeless people in Maricopa county, AZ
Keywords: Unsupervised learning, clustering algorithms, real-world data

Email to get involved and the resources and recordings will be provided. 



Missed a Spring 2022 open lab? Email to request a recording.

Faculty, staff and students interested in an ongoing project, new collaboration, or learning more may contact