Open lab

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.

Data Visualization Workshop

This non-programming in-person workshop will cover techniques and approaches to statistical data visualization, and explore ways to use graphics in both research and presentation.The topics will include but are not limited to: Perception, Composition, Encoding, and so much more. Be ready to actively participate. Bring headphones. 

Friday, Oct. 22, from 9 a.m. to 12 p.m.
Register here for the Unit for Data Science, Hayden Library event. 

Mini-Workshops

Learn some of the basics of data science in these hands-on-mini-workshops. We will show you how to import data, build models, and interpret results using multiple techniques in the Python programming language. We will meet on the following Tuesdays from 10 - 11 a.m. (AZ time) in-person and virtually.

Sept. 7 - Python Basics: Intro to programming.
Sept. 14  - Linear regression: Build linear regression models in two different packages.
Sept. 21 - Neural network classification: A How to.
Sept. 28 - K-Means clustering: Build an unsupervised model.
Oct. 26 - Generalized regression: Approach logistic regression and higher order polynomials.
Nov. 2 - Gaussian process classification: A How to.
Nov. 9 - BIRCH clustering: Build an unsupervised model.

Join us on Zoom or in-person on the third floor of Hayden Library in the data science center (NW corner by large monitor). 

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 Kerri.Rittschof@asu.edu to request to be added to receive information on upcoming events and the links to the sessions. 

Fall 2021 labs

This series is a set of instructional and participatory events to inform on various and necessary key skills in data science.

We will meet on the following Wednesdays from 10 to 11 a.m. (AZ time)

Sep. 8 - Semester kickoff hosted by the Data Science Team
Sep. 15 - Motivational interviewing & Identify the problem cohost by Michael Simeone & Kerri Rittschof
Sep. 29 -
Engineering thinking for data science hosted by Luigi Marini
Oct. 20 - Agent-based modeling hosted by Joffa Applegate
Oct. 27 - How data misinforms us about misinformation hosted by Shawn Walker
Nov. 17 - Intro to Natural Language Processing hosted by Michael Simeone 

Join us on Zoom or in-person on the third floor of Hayden Library in the data science center (NW corner by large monitor). 

Applied projects

Provides an opportunity to work directly in groups or individually on research projects spanning social science, biology, humanities, policy, computer science and engineering. 

Fall 2021

Hello fellow data sciencers! Come join us each week as we try predicting stock prices with sentiment analysis on twitter data!

We will mentor and coach students who are interested in working on a real-world project on social media analysis. We will meet on the following Fridays from 10 - 11 a.m. Join us on Zoom. No registration required.

Sept. 10, 17, and 24; Oct. 1 and 29; Nov. 5 and 12

Be ready to learn about the project, share and implement your ideas, and collaborate with others. 

Any questions, contact us at datascience@asu.edu  

Mentorship Virtual Office Hours

Fall 2021, Wednesdays from 2 to 3 p.m., beginning Sept. 8 to Nov. 17.

Coding - Need help with your code? Click here each Wednesday and our Data Scientist, David Little will be here to help!

Project - Want feedback on your project? Click here each Wednesday, and Michael Simeone and/or Kerri Rittschof will be here to help!

Note: We will not meet on Oct. 6 and 13.

Missed a Spring 2021 open lab? Email Kerri.Rittschof@asu.edu to request a recording.

Faculty, staff and students interested in an ongoing project, new collaboration, or learning more may contact datascience@asu.edu.