Workshops
Live Workshops
UCF Advanced Research Computing Center (ARCC), UCF Libraries, and Office of Research Cyberinfrastructure, jointly present the Research Computing and Data Management workshops series, featuring guest speakers from the broader research community, and including hands-on training for Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure. The Office of Research sponsors Software and Data Carpentries workshops (http://carpentries.org) in this series. View all upcoming events here.
Carpentries Self-Paced Workshops
UCF is a Carpentries member through Office of Research sponsorship. The Carpentries is a global community of volunteers who develop and teach interactive, hands-on workshops on research computing and data skills
Data Carpentries
Data Carpentry workshops are for people who work with data in their research and want to learn how to code and organize their projects to work more effectively and reproducibly with data.
- Astronomy curriculum (lessons)
- Ecology curriculum (lessons)
- Genomics curriculum (lessons)
- Geospatial data curriculum (lessons)
- Social Sciences curriculum (lessons)
- Data Organization in Spreadsheets for Social Scientists (link)
- Data Cleaning with OpenRefine for Social Scientists (link)
- Data Analysis and Visualization with R for Social Scientists (link)
- Data Analysis and Visualization with Python for Social Scientists (link)
- Data Management with SQL for Social Scientists (link)
Software Carpentries
Software Carpentry workshops are for people who are learning to code to develop software or learn best-practices in software development. Lessons are domain-agnostic, and teach the Unix shell, coding in R or Python, and version control using Git.
- The Unix Shell
- Version Control with Git
- Programming with Python
- Plotting and Programming in Python
- Programming with R
- R for Reproducible Scientific Analysis
- Automation and Make
- Programming with MATLAB
- Using Databases and SQL
Library Carpentries
Library Carpentry workshops are for people working in library- and information-related roles to build software and data skills.