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.
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.
This R training is targeted at NOVICES to R programming.
You must attend both session to complete the training:
- Thursday 18th November, 9:30am - 12:30pm
- Friday 19th November, 9:30am - 12:30pm
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.
We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found here.
For more information about prerequisites and programming pathways for this course, please visit the course page on our website.
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.