Data Science Hub
Research Bazaar
Discovery Building 330 North Orchard Street, Madison, WI, United StatesData Science Research Bazaar: AI and ML in Research: Navigating Opportunities and Boundaries. Save the date for the the 6th annual Data Science Research Bazaar, March 19-20, 2025 at the Discovery Building. This year’s theme is AI and ML in Research: Navigating Opportunities and Boundaries. CONTACT: facilitator@datascience.wisc.edu URL: https://bazaar.datascience.wisc.edu/
Research Bazaar
Discovery Building 330 North Orchard Street, Madison, WI, United StatesData Science Research Bazaar: AI and ML in Research: Navigating Opportunities and Boundaries. Save the date for the the 6th annual Data Science Research Bazaar, March 19-20, 2025 at the Discovery Building. This year’s theme is AI and ML in Research: Navigating Opportunities and Boundaries. CONTACT: facilitator@datascience.wisc.edu URL: https://bazaar.datascience.wisc.edu/
Intermediate Research Software Development with Python
Discovery Building 330 North Orchard Street, 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.
Health Sciences Data Carpentry
Health Sciences Learning Center, Room 1248 750 Highland Avenue, Madison, WI, United Stateshttps://uw-madison-datascience.github.io/2025-03-24-uwmadison-dc/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.
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, 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, 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, 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, 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, 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, Madison, WI, United Stateshttps://uw-madison-datascience.github.io/2025-08-25-uwmadison-ReproducibleSoftware/
