Learn to Program: R at USYD Online

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Event description
Learn about the fundamental concepts in programming using R and apply them to analyse a sample research dataset.

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 - 13:00 pm on 18 Feb
  • 9:30 am - 13:00 pm on 19 Feb

An optional technical support on setting up Zoom or RStudio will start at 9 am on 18 Feb.

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.

You’ll learn:

  • Basic syntax and data types in R
  • How to load external data into R
  • Creating functions (FUNCTIONS)
  • Repeating actions and analysing multiple data sets (LOOPS)
  • Making choices (IF STATEMENTS - CONDITIONALS)
  • Ways to visualise data

Prerequisites

No prior experience with programming needed to attend this course.

The Intersect approach to training

At Intersect, we deliver hands-on courses that targets the day-to-day software and technology problems that researchers face.

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

For more information about how we allocate tickers and address no-shows, see our training policy.

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