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Intro to Basic Programming for Scientists series: Unix, Git, and R (multi-day)

Click here to sign up for the waitlist. This workshop is sold out. 

Tickets: $25 (no refunds)


  1. This introductory workshop is for novices and beginners (@ucsf.edu email required) with little to no programming experience. Expect a slow pace and going over basics and fundamentals on Unix, Git, and R programming.

  2. The lessons we use are all from Software Carpentry. They're free, open source, and available online: https://software-carpentry.org/lessons/ (It is neither expected nor required to review the lessons before the workshop.) 

  3. This workshop is 4 days long, covering: 25% Unix Shell, 25% Git, 50% R. Plan to come to each day of the 4-day workshop, Dec 9-12, 1-5pm each day. The lessons build on one another.

  4. Software Carpentry's Code of Conduct: We are committed to creating a friendly and respectful place for learning, teaching and contributing. All participants in our events and communications are expected to show respect and courtesy to others.

Course Overview

This event, brought to you by the UCSF Library Data Science Initiative and UCSF Bakar Computational Health Sciences Institute, is an example-driven boot camp taught by volunteers who are fellow scientists and programmers. The workshops will introduce the basics of Unix Shell and Git, and R. 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.

Participants must 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. 

Tickets: $25 (no refunds)

To sign up for the waitlistclick here


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.

Wednesday, Dec 11 2019 Show more dates
1:00pm - 5:00pm
Mission Hall 1407
Mission Bay
  Data Science Initiative     Data Science Initiative > Programming  

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