Workshops

Data Science Hub Carpentries Workshops

In collaboration with the Carpentries Community, the Data Science Hub offers a variety of data science and machine learning workshops throughout the calendar year that teach programming and data analysis (Unix shell, Python, R, OpenRefine), version control (Git/GitHub), database management (SQL), containerization (Docker), and machine learning (Intro to ML, Deep learning). Some of the subject area focuses for these workshops are geospatial, health sciences, ecology, social sciences, genomics, and the humanities. The Data Science Hub can also develop trainings customized for specific classes and labs.

• Upcoming workshops: Upcoming workshops are announced every two weeks in the data science @ uw newsletter — subscribe to receive the newsletter in your inbox.
• Past workshops: To view all past workshops, please visit the Hub’s Workshop Archive page.
• Request a workshop: The Data Science Hub helps to organize custom, small-group workshops by local Carpentries instructors. If interested, please fill out the “Request a workshop” form.

Libraries Workshops

The Libraries at UW-Madison regularly offers workshops that teach programming skills in both R and Python.

• Upcoming workshops: Upcoming workshops are announced via the Libraries Google group. Note that you need to be signed into google via your wisc account in order to see a “Join group” button on the Libraries Google group landing page

Social Science Computing Cooperative (SSCC) Training Program

The primary purpose of the SSCC’s training program is to give social science graduate students with an interest in quantitative research the skills they need to do research with real-world data. It is intended to complement formal coursework in statistical analysis, so there is a heavy emphasis on the data wrangling skills that usually are not taught in such classes. The curriculum was developed by the SSCC’s statistical consultants and draws on their long experience assisting social science graduate students as they begin their research.

While the primary audience for SSCC training is social science graduate students, the skills taught will be valuable to a much broader audience: graduate students in other fields, faculty and staff researchers interested in enhancing their skills or learning a new statistical package, or undergraduates who are interested in graduate school, data-driven careers, or just gaining a deeper understanding of statistical software so they can excel in classes that use it. SSCC’s training is free to all UW-Madison faculty, staff, and students.

• Upcoming workshops: View the in-person schedule and register for SSCC classes, or visit the online curriculum.

Software Training for Students (STS) – DoIT

DoIT’s trainers can help students and instructors achieve success by teaching the technology skills needed in the classroom and beyond. They offer free technology training and project support to registered UW-Madison students and instructors. Visit the STS website to learn more.