Data Science Hub

Coding Meetup and Consultations

Discover campus data and computing resources. Discuss ways to enhance your research with data science. Collaborate with data scientists and other researchers on campus.  For appointments outside of Coding Meetup, please fill out the Find A Facilitator Routing Form to be directed to a facilitator with the expertise you need.

Coding Meetup

Tuesdays and Thursdays, 2:30–4:30 p.m. CT.

Come to Coding Meetup to ask questions about tools you learn about, how to apply coding tools to your work, troubleshoot coding bugs, or anything else related to your data or code. We also welcome additional helpers at Coding Meetup, if you’d like to help answer questions that come up.

Coding Meetup currently takes place in a hybrid format (online + in-person) on Tuesdays, and online only on Thursdays.

  • To join in-person on Tuesdays, visit room 1155 on the first floor of the Discovery Building (330 N. Orchard St.).
  • To join online on Tuesdays/Thursdays, set up an account in the the Data Science Hub Slack Workspace. If you already have an account you can sign in at data-science-hubgroup.slack.com. Once you have set up an account, browse the channels for #coding-meetup and type your message into that channel during the designated time. A consultant will follow-up with a Zoom link to discuss your question one-on-one.

Training

The Data Science Hub hosts trainings and workshops to help researchers learn the skills they need to reproducibly write software and analyze data. For more information about these workshops and others offered elsewhere on campus, see the Workshops Page. There are also a few recorded lessons available on the Data Science Hub’s YouTube channel.

We can also create custom trainings for your lab group or class.

Communities

As part of the Data Science Hub’s mission to provide year-round support to data science practitioners, we lead several communities of practice on campus including…

The Carpentries — Help teach data science workshops

The University of Wisconsin-Madison has a long-standing relationship with the Carpentries, a global organization of researchers who volunteer their time and effort to create workshops that teach software engineering and data analysis skills to other researchers. The local community of workshop instructors, helpers, and lesson developers includes research support staff from across campus, faculty members, and graduate students. Workshops offered include Intro to Python/R/Julia/Shell, GitHub, Docker, Intro to Machine Learning, Intro to Deep Learning, Intermediate Software Development, and many others.

ML+X — Connect with machine learning practitioners

ML+X is a community of practice that brings together students, researchers, and industry professionals who share an interest in using machine learning (ML) methods to advance their work (X). With new ML tools and models being released every month, this community is a vital resource that can help anyone interested in ML — from beginners to experts — stay informed, find support amongst peers, and collaborate on projects.

Events

The Data Science Hub hosts an annual Data Science Research Bazaar, an informal conference where researchers and data scientists from various disciplines and industries have opportunities to share their work, collaborate, and discuss their data science interests. View the websites for our previous (2020, 2021) Data Science Research Bazaars at this link.

The Data Science Research Bazaar is modeled off of the internationally occurring Research Bazaar, a worldwide festival that promotes the digital literacy emerging at the center of modern research.

Newsletter


Data Science Updates is the University of Wisconsin-Madison’s resource for news, research highlights, training, events, and professional opportunities in data science, brought to you by the American Family Insurance Data Science Institute and the Data Science Hub. The newsletter includes upcoming workshops, seminars, student and professional opportunities, and much more! To sign-up or view the newsletter archive, see the Newsletter Page.