Short Course: Introduction to R

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:Gordana Popovic, Senior Statistical Consultant, UNSW Stats Central

Date: Monday 3 February 2025

Time: 9.30am to 4.30pm

Deliver Mode: In-Person ONLY

Location: K-D26-G07 - Bioscience Building Room G07

This course is not hybrid and will not be recorded. 

You will receive a certificate of completion for the course.

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

• Bundle2: $180(full price $200)
  
  • Introduction to R: February 3
  • Introductory Statistics for Researchers using R: February 5-7
    

• Bundle3: $315(full price $350)
  • Introduction to R: February 3
  • Introductory Statistics for Researchers using R: February 5-7
  • Fundamentals of Regression in R: February 11-13

• Bundle4: $405(full price $450)
• Introduction to R: February 3
• Introductory Statistics for Researchers using R: February 5-7
• Fundamentals of Regression in R: February 11-13
• Plus one of the following advanced courses: You will be notified when the tickets are available!
  • Mixed Models using R: May (2 days)
  • Meta Analysis:May (2 days)
  • Sample Size and Power Calculations: May (2 days)
  • Multivariate Statistics using R: August (2 days)
  • Survival: September (2 days)

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