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A Data Carpentry Workshop

University of Florida

Jan 18 - March 1, 2018

3:00pm - 5:00pm

Instructors: Miao Sun, Ellen Bledsoe, Michael Heslar, Dev Paudel, Simona Picardi, Shawn Taylor

Helpers: Justin Millar, Joe Andreoli, Sergio Marconi, Ben Toh

General Information

Data Carpentry workshops are for any researcher who has data they want to analyze, and no prior computational experience is required. This hands-on workshop teaches basic concepts, skills and tools for working more effectively with data.

We will cover introduction to R, data analysis and visualization in R, data organization in spreadsheets, and OpenRefine. 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.

Data Carpentry workshops are typically held over two full days. This workshop is using an experimental schedule that is being held in 2 hour sessions over 7 weeks. We hope this will provide a format for anyone not able to commit to the two day workshops.

Do I need to attend every session?

The lessons are linear and build upon what was taught the prior week. Thus learners will benefit most if they attend every session, yet we realize that unexpected events happen. If you miss a session we'll do our best to work with you.

Can I drop in on just 1 or 2 sessions?

We encourage everyone to attend all sessions for the above reason, but if there is space available we welcome anyone who wants to learn. Please email the organizer beforehand if you would like attend a single session.

Cost: This is a free workshop.

Who: The course is aimed at graduate students, post-docs, and other researchers.

Where: Marston Science Library Rm. L136. 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 for more information.

Sign up: Unfortunately this workshop is full. If you'd like to add your name to the wait list you can do so here.


The workshop will be every Thursday from 3:00pm to 5:00pm (except on Feb. 15 we'll start a half hour later). The first session is the 2nd week of the semester and the last will be the week before spring break.



(with links to material)


Jan. 18 Intro to R 3-5pm
Jan. 25 Data Organization 3-5pm
Feb. 1 Starting with Data 3-5pm
Feb. 8 Manipulating Dataframes 3-5pm
Feb. 15 Visualizing Data 3:30-5:30pm
Feb. 22 dplyr Joins 3-5pm
March 1 OpenRefine 3-5pm

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.