2130 H Street, NW, Washington, DC 20052
Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.
For more information on what we teach and why, please see our paper "Good Enough Practices for Scientific Computing".
Who: The course is aimed at graduate students, advanced undergraduates, researchers, staff, and faculty of the George Washington University and its affiliated institutions (such as Children's National Hospital). You do not need to have any previous knowledge of the tools that will be presented at the workshop.
When: Aug 24-25 9:00am-5:00pm; Aug 26 9:00am-12:30pm EDT. Add to your Google Calendar.
How to register: Please fill out the Registration Form to register.
Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below).
Accessibility: We are committed to making this workshop accessible to everybody. For workshops at a physical location, the workshop organizers have checked that:
- The room is wheelchair / scooter accessible.
- Accessible restrooms are available.
Materials will be provided in advance of the workshop and large-print handouts are available if needed by notifying the organizers in advance. If we can help making learning easier for you (e.g. sign-language interpreters, lactation facilities) please get in touch (using contact details below) and we will attempt to provide them.
Contact: Please email email@example.com for more information.
Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.