Advance Your Training In Data Science
Since January 2019, the Data Science Hub has been carrying on the tradition of hosting workshops that teach the skills and tools needed for researchers to reproducibly analyze, model, and gain insights from data, such as:
- Data Analysis & Visualization (Unix shell, Python, R)
- Data Cleaning & Management (OpenRefine, SQL)
- Machine Learning (Intro to ML, Deep learning)
- Version Control & Containerization (Git/GitHub, Docker)
Thanks to the Carpentries community, all workshop materials are open access and freely available for all to learn from. To review the lesson materials for each topic listed above, or any other topic we’ve taught, visit the Workshop Archive.
Research Computing Facilitators from the Center for High Throughput Computing have also been key in developing the Carpentries community at UW-Madison. And here are several additional groups on campus that offer data science related training opportunities. Visit the Data Sciences Resources page to learn more!
Are you curious about teaching computational skills to researchers? Did you struggle to learn programming and data best practices and want to help others learn those skills? Join the Carpentries Instructional Community to advance your teaching and technical skills while helping others!
Our ability to offer numerous workshops is only made possible through the hard work of volunteer workshop helpers and instructors. We are always seeking new members to bring additional diversity and expertise into our instructional community, including mentors and learners on- and off-campus. Join the google group to learn how you can get involved. There are always opportunities to help or teach at a workshop, contribute to new workshop lesson development, or become a certified Carpentries instructor!
The Data Science Hub helps to organize custom, small-group workshops by local Carpentries instructors. If you’d like to request a workshop for your group, please fill out a request form.
We host a max of 2 requested workshops a month, subject to availability. Workshops that require development of new curriculum may take several months to put together. However, you can find the links to existing lessons in our lessons materials page, which can be taught on shorter notice. Workshops for groups outside the UW will have a fee based on our current rates.
Data Science Hub Workshops
November 8CHTC Mini-Workshop9:00 a.m. – 12:30 p.m.
December 6Interactive Data Visualizations in Python and Streamlit Mini-Workshop9:00 a.m. – 12:30 p.m.
December 20The Basics of Data Visualization Mini-Workshop9:00 a.m. – 12:30 p.m.
data science workshops @ uw
- September 26Python Programming: Introduction (Repeat, Online)10:00 AM, Registrants will be emailed the link to the session a few days before the workshop.
- September 27
- September 28
- September 29R Programming for Researchers: R Basics (online)10:00 AM, Online, connection information will be sent in advance
- October 3Python Programming: Loops, Lists, and Functions (Online)10:00 AM, Registrants will be emailed the link to the session a few days before the workshop.
- October 6R Programming for Researchers: Data Wrangling (online)10:00 AM, Online instruction. Workshop link and satellite room location will be emailed to registrants.
- October 10Python Programming: Spreadsheets and Data Wrangling with Pandas (Online)10:00 AM, Registrants will be emailed the link to the session a few days before the workshop.
- October 11Git/GitHub Mini-Workshop9:30 AM
- October 13R Programming for Researchers: Data Visualization (online)10:00 AM, Online instruction. Workshop link and satellite room location will be emailed to registrants.
- October 17Python Programming: Data Visualization with Seaborn (Online)10:00 AM, Registrants will be emailed the link to the session a few days before the workshop.
- October 18Gale Digital Scholar Lab: Overview Training for UW-Madison(Virtual)11:00 AM, Online