Mar 20-21, 2018
9:00 am - 4:30 pm
Instructors: Simona Picardi, Kristina Riemer, Daijiang Li, Michael Heslar
Helpers: Ellen Bledsoe, Geraldine Klarenberg, Brian Stucky, Annie Loggins, Sasha Lavrentovich
Space is limited to 24 participants for this workshop and registration is required. A fee of $46.00 will be charged and lunch will be provided both days. Please plan on attending the entire time for both days. You can register in UF's conference system here:
Registration is now full. If you would like to be added to our waiting list for the next event, please email firstname.lastname@example.org .
The 1st Annual UF Data Symposium and the UF Carpentries Club are offering a two day Data Carpentry workshop to help the UF community get started learning R and common data management tools such as the spreadsheets, OpenRefine, and SQL. Need to learn some programming for a class? Have data you're scared to work with in Excel? Want to collaborate effectively with your peers? We were there once too. Come start learning with us.
Our instructors are trained by the Carpentries in evidence-based pedagogy and our materials have been developed collaboratively over years by dozens of contributors. The University of Florida Informatics Institute and Biodiversity Institute have generously volunteered space and resources for this workshop in order to advance the skillset of the UF community. The organizers, instructors, and helpers are volunteering their time to help UF, and you!
The international Data Carpentry organization 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. 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.
We will cover Data organization in spreadsheets and OpenRefine, Introduction to R, Data analysis and visualization in R and SQL for data management. Participants should bring their laptops and plan to participate actively. By the end of the workshop learners should be able to more effectively manage and analyze data and be able to apply the tools and approaches directly to their ongoing research.
Who: The course is open to all attendees of the Data Symposium as well as all members of the UF community: students, staff, and faculty. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
Where: Computer, Information, Science and Engineering (CSE) building room E251 (off courtyard facing Centennial Tower). Get directions with OpenStreetMap or Google Maps.
Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating sytem (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below). They are also required to abide by Data Carpentry's Code of Conduct.
Contact: Please mail email@example.com for more information.
Please be sure to complete these surveys before and after the workshop.
|Morning||Data organization in spreadsheets and OpenRefine|
|Afternoon||Introduction to R|
|Morning||Data analysis and visualization in R|
|Afternoon||SQL for data management|
We will use this Etherpad for chatting, taking notes, and sharing URLs and bits of code.
To participate in a Data Carpentry workshop, you will need working copies of the described software. Please make sure to install everything (or at least to download the installers) before the start of your workshop. Participants should bring and use their own laptops to insure the proper setup of tools for an efficient workflow once you leave the workshop.
Please follow these Setup Instructions.
We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.