Data Science Hub Classes

In this virtual session, we’ll further explore Research Object Storage (S3), a new campus-hosted data storage service offering 50TB of no-cost storage to eligible researchers. This session, which will be geared toward technical support staff, will highlight access methods (such as API), practical applications, and potential issues using the service. What are common IT tasks associated with this service and how do you know if this is a service you should recommend to your researchers? CONTACT: researchdrive@wisc.edu URL: https://it.wisc.edu/research-ci/research-object-storage-s3-presentation-3/ ONLINE: https://uwmadison.zoom.us/j/94791669123?pwd=52ajZaLb2mkFSiDHw0yiz5lyNNnnfb.1

Learn about CHTC's computing and data services for UW-Madison affiliates at this information session!. CHTC staff will present an overview of CHTC services and how these services can help researchers accomplish their research and computational goals. CHTC staff will also help attendees identify the next steps for getting started - whether that is getting an account, how to log in, or how to start running work. If you are attending in person, after the presentation, there will be time for Q+A and hands-on help from the CHTC Facilitation Team. Register to receive a virtual link. CONTACT: chtc@cs.wisc.edu URL: https://chtc.cs.wisc.edu/events/2025/03/information-session ONLINE: https://chtc.cs.wisc.edu/events/2025/03/information-session

CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-03-24-uwmadison-intermedpython/

Fundamental Data Skills Workshop. 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. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-03-24-uwmadison-dc/

CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-03-24-uwmadison-intermedpython/it

Fundamental Data Skills Workshop. 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. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-03-24-uwmadison-dc/

CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-03-24-uwmadison-intermedpython/it

Fundamental Data Skills Workshop. 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. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-03-24-uwmadison-dc/

CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-03-24-uwmadison-intermedpython/it

Fundamental Data Skills Workshop. 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. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-03-24-uwmadison-dc/