R for Reproducible Scientific Analysis at USYD Online

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Learn how to use R in RStudio to support your research

About this Event

This training program is supported by the Deputy Vice Chancellor (Research) of the University of Sydney. Placements will be prioritised for researchers and research students at the University of Sydney. Registrants who are not researchers or research students at the University of Sydney may be moved to the waitlist. Thank you for your understanding. Please keep an eye on the Intersect website for upcoming courses at your home institution.

This course has two sessions:

9:30 am - 12:45 pm on 10 Nov

9:30 am - 12:45 pm on 11 Nov

An optional technical support on setting up RStudio will start at 9 am on 10 Nov.

Why do this course?

R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework.

But getting started with R can be challenging, particularly if you've never programmed before. That's where this introductory course comes in.

Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation (software-carpentry.org).

You’ll learn:

  • Programming concepts and techniques.
  • How to load external data into R.
  • Basic syntax, control structures and data types in R.
  • How to use Data Frames.
  • How to visualise data.
  • Best practices for writing code in R.

The Intersect approach to training

At Intersect, we work closely with our member universities to develop and deliver training that targets the day-to-day software and technology problems that researchers face. We deliver hands-on courses in a relaxed setting with knowledgeable, helpful trainers who are themselves researchers and who know how researchers work. 

For more information about this course and others, see our course catalogue, or visit Learn.intersect.org.au

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