Learn to Program: R

Course description

Learn about the fundamental concepts in programming using R and apply them to analyse a sample research dataset. ADDITIONAL SESSION DATES LISTED BELOW

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. We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly.

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.

Register for your preferred session via the links below

• Tuesday 4 August 9am-4pm  Register via Eventbrite 

• Thursday 24 Sept 9am-12pm Part A. Register via Eventbrite

• Friday 25 Sept 9am-12pm Part B.  Register via Eventbrite

  Join a waitlist for your preferred session via the links below

  
  

• Thursday 19 February 9am-4pm  Join Waitlist via Eventbrite
• Thursday 25 February 9am-4pm Join Waitlist via Eventbrite
• Thursday 12 March 9am-12pm PART A Join Waitlist via Eventbrite
• Friday 13 March 9am-12pm PART B Join Waitlist via Eventbrite
• Thursday 19 March 9am-4pm Join Waitlist via Eventbrite
• Thursday 9 April 9am-12pm PART A Join Waitlist via Eventbrite
• Friday 10 April 9am-12pm PART B Join Waitlist via Eventbrite
• Tuesday 28 April 9am-4pm Join Waitlist via Eventbrite

Learning Outcomes:

• Introduction to the RStudio interface for programming
• Basic syntax and data types in R
• How to load external data into R
• Creating functions 
• Repeating actions and analysing multiple data sets 
• Making choices 
• Ways to visualise data in R

Prerequisites:
No prior experience with programming needed to attend this course. We strongly recommend watching the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of these webinars can be found here.

Training will be conducted via Zoom. A Zoom link will be shared with registrants a week before training date. There will be a one-hour lunch break at 12 pm, in addition to two 10–15-minute breaks for full day courses.

About your Trainer:
Dr Ankit Beniwal is Intersect’s Digital Research Analyst (DRA) for Flinders University in 2026. He holds a PhD in Physics from the University of Adelaide and has held multiple post-doctoral positions in Europe. His technical expertise includes Python and R, complemented further by proficiency in qualitative research tools like Qualtrics, NVivo, REDCap, etc.

Type of course

Workshop