Sept 23-24, 2015
9:00 am - 4:30 pm
Instructors: Deb Paul, Matt Collins
Helpers: Libby Ellwood, Kevin Love
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.
Contact: Please mail firstname.lastname@example.org for more information.
|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.
The lessons used in the sessions are availible on Github
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.