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Software Carpentry: Unix, Git, and R for Reproducible Research

Software Carpentry: Unix, Git, and R for Reproducible Research

Software 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 for conducting reproducible research with data using the Bash Unix shell, version control with Git, and R/RStudio. Learners are expected to attend the full two days.

By the end of the workshop, learners will:

  • Manipulate files and data using a Unix shell, Git and R
  • Automate operations on multiple files using a Unix shell and R
  • Navigate and manipulate data, R scripts, and output in the RStudio environment
  • Familiarize themselves with common data types, programming concepts and procedures in R
  • Practice project management and collaboration in Git
  • Identify and resolve errors independently
  • Identify options for self-directed and guided learning related to Unix, Git and R
  • Practice creating functions, loops and conditionals to streamline and automate programs
  • Recognize key practices for annotating and documenting code

The workshop is open to anyone. You do not need any programming experience to participate but you will need access to a Windows, Mac or Linux computer. The workshop will be hosted online using Zoom; instructions for accessing course material and installing software will be sent in advance. For questions, contact Data Education Coordinator Nathaniel Porter (ndporter@vt.edu).

For more information on the workshop, visit https://ndporter.github.io/2023-01-05-vt-swc-r-online/.

If you are an individual with a disability and desire an accommodation, please email library-event-accessibility-g@vt.edu at least 10 business days prior to the event.

Date:
Friday, January 6, 2023
Time:
9:00am - 5:00pm
Location:
Online
Audience:
    Alumni       Beginners       Faculty/Staff       Graduate Students       Public       Undergraduates  
Categories:
    Workshop > Data Science       Workshop  

Registration is required. There are 21 seats available.

Event Contact

Profile photo of Nathaniel Porter
Nathaniel Porter

Social Science Data Consultant and Data Education Coordinator