August 24, 2020

Introduction to R

Register now for our upcoming Introduction to R workshop on Monday 24 and Tuesday 25 August delivered online via Zoom from 10:00am-2:30pm AEST each day. Participants must attend both days to fully complete the workshop. We strongly recommend that you log on from 10:00am AEST to troubleshoot any connection issues to Zoom, Slack, and RStudio.

Introduction to R
This foundational-level hands-on workshop introduces the basics of working with data using the R language. R provides many ways to query, explore, and visualise data, make models from data, and perform statistical tests. By using a computer language, R can do a greater range of things that can be done with a spreadsheet or a point and click statistics application. The R commands used to analyse data document all of the steps performed, and also make it easy to make changes and then re-run an analysis.

Who: The course is aimed at beginners. You don’t need to have any previous knowledge of the tools that will be presented at the workshop.

What you’ll need: A computer with speakers and a microphone (note: webcams and dual monitors are recommended but not required). A web browser and Zoom are the only required software. We will be using RStudio over the web (R and RStudio are also freely available to install on your own computer). A Zoom link and instructions will be sent to registrants 2 days prior to the workshop.

How to register? 

1. Monash staff and Graduate Research students register here
Note: Data Fluency workshops are now only available to staff and Graduate Research students.

2. External participants from Monash affiliate partners only (The Hudson Institute, The Alfred Hospital, Alfred Research Alliance Members, Peninsula Health, Baker Institute, Burnet Institute, CSIRO and MASSIVE) register here.

Data Fluency for Research is a cross-disciplinary initiative developing researcher capability at Monash University. Keep an eye out for additional upcoming workshops across our campuses by logging in to your myDevelopment training space, and also by subscribing to the Data Fluency mailing list to receive updates on events and workshops.