Mar 7-8, 2016
9:00 am - 5:00 pm
Instructors: Ivan Gonzalez, Kevin P. Vilbig
Helpers: Margaret Briand Wolfe, Marianna Foos, Sue McClatchy, Sriram Natarajan
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 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 aimed at graduate students and other researchers.
Food: Morning and afternoon snacks will be provided; attendees will have lunch on their own at campus locations.
Contact: Please mail email@example.com for more information.
This workshop is funded by the National Networks of Libraries of Medicine, New England Region.
|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.