The Carpentries is a global organization of researchers who volunteer their time and effort to create workshops that teach software engineering and data analysis skills to other researchers. The Data Science Hub hosts and sponsors Carpentries workshops on the UW–Madison campus.
Sept. 11, 18, 25, Oct. 2 & 9, 2019
Data Carpentry covers the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons build on learners’ existing knowledge to enable them to quickly apply skills learned to their own research.
Sept. 11, 18, 25, Oct. 2 & 9, 2019
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.
Fall 2019 Training Opportunities
Expanded R Workshops
Fridays 10 am to noon
Steenbock Library’s computer classroom 105
Open Coding Lab
Tuesdays, 2:30 to 4:30 pm
Steenbock Library’s Biocommons Lounge
Data Wrangling in Stata
August 27, 28, 29 and 30
9 am – 12:30 pm
Room 5208 Sewell Social Sciences Building
Data wrangling is the process of preparing data for analysis, which includes importing, cleaning, recoding, restructuring, combining, and anything else data needs before it can be analyzed. Data wrangling is a critical skill for research. This class is a series and you should plan on attending all of the sessions. Offered through the Social Science Computing Cooperative.
The Center for High Throughput Computing (CHTC) supports a variety of scalable computing resources and services for UW-affiliated researchers and their collaborators, including high-throughput computing and tightly-couple computations (e.g. message passing interface), high-memory, and GPUs. Standard access to the Center's resources are provided to all UW–Madison researchers free of charge.
The Office of Data Management & Analytics Services (ODMAS) houses a number of functions that bridge analytics, data management and IT functions at the UW. ODMAS centralizes an approach to data management that delivers necessary reports and analytics to all units in a method that validates, is consistent with institutional definitions, and is easy to access. It also leads and operationalizes the Data Governance Program at UW.
The Media History Digital Library is a non-profit initiative dedicated to digitizing historic books and magazines about film, broadcasting, and recorded sound for broad public access. We scan works that are no longer protected by copyright or that have been licensed to us to share with you.
MINDS@UW is designed to store, index, distribute, and preserve the digital materials of the University of Wisconsin.
Research Cyberinfrastructure (RC) is the suite of technology and support available to UW–Madison researchers – everything from a high-performance network, to research data storage, to technical support. They lead numerous projects designed to move the campus in a direction where all researchers, regardless of their field, will view technology support resources like a utility – ubiquitous, secure, easily accessible, reliable and affordable.
The Wisconsin Institute for Discovery is a research institute on the campus of the University of Wisconsin—Madison built to develop a new approach to science driven by unlikely collaborations and great minds from across the campus and the world.