General Information from Organizers
Data Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills. This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. 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 “Best Practices for Scientific Computing“.
Who: The course is aimed at graduate students and other researchers at UC Berkeley. Participants from outside the university are welcome to join as long as the Eventbrite permits, for reasons of capacity.
The workshop material is presented at an introductory level, and we will assume that you will not have any previous knowledge of the tools that will be presented at the workshop. The goal of the workshop is to provide learners new to these tools with a basis for further exploration. If you are already familiar with some of these tools, we instead encourage you to check out our peer learning group.
When: August 6-7, 2018. Add to your Google Calendar.
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). They are also required to abide by Data Carpentry’s Code of Conduct.
Accessibility: We are committed to making this workshop accessible to everybody. The workshop organizers have checked that:
- The room is wheelchair / scooter accessible.
- Accessible restrooms are available.