Course Overview

R is widely used and extremely powerful statistical software. This course assumes that you have never used R before. You will learn how to obtain and install R, which is open-source software, and RStudio, which is a versatile, user-friendly interface for using R. It is very useful to do this course before our introductory statistics course, Introductory Statistics for Researchers. This course will cover some basic features of R and lay the groundwork for you to improve your R skills independently. The course is self-paced and focused on developing practical skills.

Course outline

This course will cover topics including:

Basics of interacting with R – calculations, saving variables so you can reuse them, data types and structures, organising R code in scripts
Tidyverse – a basic introduction to tidy R code
Data – reading in and organising data (from spreadsheets) with dplyr
Plotting – make beautiful figures with ggplot

Course Requirements: You will need a computer with administrator access (to install R and RStudio software before attending the course).

Presenter and Expertise: Peter Humburg, Biostatistician, UNSW Stats Central

Date: Monday 5 May 2025

Time: 9.30am to 4.30pm

Deliver Mode: In-Person ONLY

Location: Wallace Wurth Building

This course is not hybrid and will not be recorded.

You will receive a certificate of completion for the course.

We offered a bundle ticket for UNSW Student ONLY with further 10% discount as follows:

Bundle2: $180 (full price $200)
- Introduction to R: May 5 and
- Introductory Statistics for Researchers using R: May 7-9 (prerequisite: Introduction to R)

Once you have registered for a "bundle2 ticket", you will receive the access "code" for registering for "Introductory Statistics for Researchers using R", which will be highlighted in yellow in the "email order confirmation" message. Please make sure to select the correct ticket type when registering. Your ticket will be verified, and choosing the right one will help us match your registration details quickly and accurately. If you're unsure which ticket type applies to you, feel free to reach out to us directly stats.central@unsw.edu.au.

Course cancellation or postponement policy:

If the course is cancelled or postponed by Stats Central, you have the option to:

1. Keep the funds and enrol in the next available course when it is rescheduled (most preferred option), or

2. Receive a full refund of the ticket price

Note: If you have a funding support and would like to pay by "Internal Funding Payment" please contact us stats.central@unsw.edu.au

FAQs

How can I contact the organiser with any questions?

Please send us an email at: stats.central@unsw.edu.au

Contact the host of Short Course: Introduction to R