Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Our mission is to provide researchers high-quality, domain-specific training covering the full lifecycle of data-driven research. Data Carpentry is a sibling organization of Software Carpentry. Where Software Carpentry teaches best practices in software development, our focus is on the introductory computational skills needed for data management and analysis in all domains of research. Our lessons are domain specific, from life and physical sciences to social science and build on the existing knowledge of learners to enable them to quickly apply skills learned to their own research. Our initial target audience is learners who have little to no prior computational experience. We create a friendly environment for learning to empower researchers and enable data driven discovery. For more information, visit http://www.datacarpentry.org/.
UF hosts Data Carpentry Workshops each semester and summer. To learn more, contact Brian Stucky email@example.com.
Because computing is now an integral part of every aspect of science, but most scientists are never taught how to build, use, validate, and share software well. As a result, many spend hours or days doing things badly that could be done well in just a few minutes. Software Carpentry’s goal is to change that so that scientists can spend less time wrestling with software and more time doing useful research. Software Carpentry is a volunteer organization whose goal is to make scientists more productive, and their work more reliable, by teaching them basic computing skills. Founded in 1998, it runs short, intensive workshops that cover program design, version control, testing, and task automation. The Software Carpentry Foundation was created in October 2014 to act as a governing body for the project.
Data Carpentry is a sibling organization that focuses on data analysis skills rather than programming skills. Both organizations share the instructor training program, and are represented on one another’s steering committees, but while Software Carpentry’s aim is to help scientists who are programming badly learn to program better, Data Carpentry’s goal is to teach people who are wrangling data manually how to automate make their work and make it more reproducible.
UF hosts Software Carpentry Workshops each semester and summer. To learn more, contact Brian Stucky firstname.lastname@example.org.
Introduction to R for the Social Sciences
This series of 8 weekly workshops offers an introduction to the R programming language for data analysis in the social sciences. The sessions will cover a number of essential tools and facilities available in R for typical tasks in social data analysis, including data import and management; descriptive statistics and graphics; linear and generalized linear models; multilevel, spatial and network data. These are hands-on workshops in which participants will run R code on real-world data and will do coding exercises on their own laptops.
All sessions will be held at the UF Informatics Institute (Room E251). Participants are free to attend all or just some of the workshops. However, knowledge of the topics covered in Sessions #1-4 is necessary and assumed for participants in Sessions #5-8.
The workshops are free and open to all UF students, faculty and staff. There is a limit of 30 participants and registration is required. You must register for each workshop that you wish to attend. Click on link to selected workshop to register.
This workshop series is organized by the UF R Social Sciences Interest Group (RSSIG) in collaboration with the UF Department of Sociology and Criminology & Law, and the UF Informatics Institute. It is supported in part by the UF Bureau of Economic and Business Research and the Clinical and Translational Science Institute.
For more information about the Fall 2019 series, visit https://informatics.institute.ufl.edu/event/introduction-to-r-for-the-social-sciences-weekly-workshops-fall-2019/.