Data Science Hub
Intermediate Research Software Development with Python
Discovery Building 330 North Orchard Street, Orchard View Room, Madison, WI, United Stateshttps://uw-madison-datascience.github.io/2025-03-24-uwmadison-intermedpython/Intermediate Research Software Development with Python aims to teach a core set of established, intermediate-level software development skills and best practices for working as part of a team in a research environment using Python as an example programming language (see detailed learning objectives). The core set of skills we teach is not a comprehensive set of all-encompassing skills, but a selective set of tried-and-tested collaborative development skills that forms a firm foundation for continuing on your learning journey.
Text Analysis in Python
https://uw-madison-datascience.github.io/2025-04-28-uwmadison-textanalysis/
Intro to Deep Learning with Keras
Discovery Building 330 North Orchard Street, Orchard View Room, Madison, WI, United Stateshttps://uw-madison-datascience.github.io/2025-05-19-uwmadison-DeepLearningKeras/
REU / Undergrad Only – Data Carpentry
Discovery Building 330 North Orchard Street, Orchard View Room, Madison, WI, United Stateshttps://uw-madison-datascience.github.io/2025-06-02-uwmadison-reudc/Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.
Geospatial Data Carpentry Workshop
Discovery Building 330 North Orchard Street, Orchard View Room, Madison, WI, United Stateshttps://uw-madison-datascience.github.io/2025-06-02-uwmadison-dc-geospatial/The goal of this workshop is to provide an introduction to core geospatial data concepts and dive into working with raster/vector data, including how to open, work with, and plot vector and raster-format spatial data in R. Additional topics include working with spatial metadata (extent and coordinate reference systems), reprojecting spatial data, and working with raster time series data. This lesson assumes you have some knowledge of R. If you’ve never used R before, or need a refresher, start with our Introduction to R for Geospatial Data lesson webpage.
REU / Undergrad Only – Software Carpentry
Discovery Building 330 North Orchard Street, Orchard View Room, Madison, WI, United Stateshttps://uw-madison-datascience.github.io/2025-06-09-uwmadison-reuswc/Software Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills. This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.
Introduction to Machine Learning
Discovery Building 330 North Orchard Street, Orchard View Room, Madison, WI, United Stateshttps://uw-madison-datascience.github.io/2025-07-30-uwmadison-IntrotoML/
Genomics Data Carpentry
Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research.
Reproducible Software
Discovery Building 330 North Orchard Street, Orchard View Room, Madison, WI, United Stateshttps://uw-madison-datascience.github.io/2025-08-25-uwmadison-ReproducibleSoftware/
Fall 2025 Mini Workshop Series
https://uw-madison-datascience.github.io/2025-10-01-uwmadison-mini/
Finding Your Place in Science
Discovery Building 330 North Orchard Street, Orchard View Room, Madison, WI, United StatesA reflective workshop on belonging, identity, and the paths of science, guided by Madison author, editor, and writing mentor. All Welcome.Finding Your Place in Science: A Writing Workshop to Explore Scientific IdentityOct. 20, 3 pm, Location: 1145 Discovery BuildingLight snacks providedMichelle Wildgen is an editor, teacher, and writer of literary fiction and essays, as well as the author of four novels and cofounder of the Madison Writers’ Studio.A scientific identity – essentially, whether a person feels they belong in the world of science —is associated with longevity and success in STEM-related fields. But what does it mean to belong in science? [...]
ML+Coffee: How Can I Apply ML/AI To My Data?
1145 Discovery BuildingML+X Networking & Coworking. CONTACT: endemann@wisc.edu URL: https://forms.gle/Qrku5Dza6N3ZT3yAA


