Beginning R or Python Workshop
This event, brought to you by the UCSF Library Data Science Initiative and UCSF Institute for Computational Health Sciences, is an example-driven two-day workshop that introduces the basics of R or Python, Git, and the Unix Shell. Short tutorials alternate with hands-on practical exercises, and participants are encouraged both to help one another, and to try applying what they have learned to their own research problems during and between sessions.
This two-day workshop will run July 15-16, 9am-5pm each day. We will be running two concurrent bootcamps meaning both workshops are happening at the same time and you should register for either the R workshop or the Python workshop. Only sign up for one workshop. The schedule generally follows the format:
You must have a valid UCSF email address to register. Participants should bring their own laptop to work on. This should be a "real" laptop - not a Chromebook, tablet, etc. You should also be sure to have admin privileges on this computer.
Please note that we cannot give refunds. If you register and can no longer attend feel free to give your ticket to a friend or colleague.
Q: Who would NOT find this course useful?
A: Intermediate and advanced R or Python users and those who don't want to learn Unix Shell and Git. This course is geared towards beginners with little or no programming experience. While you're welcome to attend if you need to brush up on the basics, these lessons will teach Unix Shell and Git and are not designed for intermediate or advanced R or Python users.
Q: I can’t attend this workshop because I have a conflict on July 15-16. When’s the next workshop?
A: We try to have a workshop once a quarter so the next one is never too far off. Email email@example.com to subscribe to the monthly Data Science Initiative newsletter for notifications.
Q: I registered for this workshop, but now have a conflict and can’t attend. Can I get a refund?
A: We cannot give refunds. If for any reason you can no longer attend the workshop, feel free to give your ticket to a friend or colleague.
More questions? Email Joanna.Kang@ucsf.edu
Related LibGuide: Data Sharing & Data Management by Ariel Deardorff