QCIF: R for Reproducible Scientific Analysis

R for Reproducible Scientific Analysis

This Software Carpentry workshop introduces novice programmers to the R software environment: A powerful, popular and free statistical and graphical programming language. R and its array of third-party packages are commonly used in many scientific disciplines for statistical analysis. The emphasis of this workshop is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation.

Note that this workshop will focus on teaching the fundamentals of the programming language R, and will not teach statistical analysis.

This workshop will run over four consecutive mornings of Tuesday 28th April – Friday 1st May, from 9:00 am to 1:00 pm each day.

Please only register if you are able to fully commit to attending all four sessions.

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Event Details
  • Start Date
    April 28, 2026 9:00 AM
  • End Date
    May 1, 2026 1:00 PM
  • Status
    Expired
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This is an online workshop, so you will need to provide your own computer with R and RStudio pre-installed (instructions will be provided), and have access to a reliable internet connection sufficient for video conferencing. A second monitor is highly recommended.

Chromebooks and tablets are not suitable for this workshop; you will need a full-function computer.

No specific experience is required, although previous use of the command line interface can be helpful.

Researchers looking for more advanced or automated data analysis capabilities than basic spreadsheets. The workshop is relevant for all disciplines.

You can email training@qcif.edu.au.

Cancellations are accepted up to three working days before the start of the workshop. If you do not join on the day without having cancelled beforehand, you may be blocked from attending any future QCIF training workshops.

Event Details
  • Start Date
    April 28, 2026 9:00 AM
  • End Date
    May 1, 2026 1:00 PM
  • Status
    Expired
  • Organizer
  • Category
Add to Calendar
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