UCSF Programming Workshop: Beginning R or Python

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This event is now closed. To find future UCSF Data Science Initiative classes, please go to: http://calendars.library.ucsf.edu/calendar/events/

UCSF Programming Workshop: Beginning R or Python

By Software Carpentry

Date and time

May 20, 2017 · 9am - May 21, 2017 · 5pm PDT

Location

UCSF Mission Hall Room 1406/1407

550 16th Street San Francisco, CA 94158

Refund Policy

Contact the organizer to request a refund.

Description

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Course Overview

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.


Schedule

This two-day workshop will run May 20-21, 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:

Day 1

Day 2


The schedule and content for the R workshop is here:

https://ucsf-ckm.github.io/2017-05-20-ucsf-r/


The schedule and content for the Python workshop is here:

https://ucsf-ckm.github.io/2017-05-20-ucsf-python/


Coffee and snacks will be provided.

Registration Info

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.


Questions? Email Joanna.Kang@ucsf.edu

Organized by

Software Carpentry is a volunteer organization whose goal is to make scientists more productive, and their work more reliable, by teaching them basic computing skills. Founded in 1998, it runs short, intensive workshops that cover program design, version control, testing, and task automation.

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