Welcome to Digital Research Skills Australasia (DReSA)

Browsing, discovering and organising digital research events and training resources, collected from Australasian providers.

Latest Content in DReSA

Data Manipulation and Visualisation in R at ACU

Event

R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework.

In this workshop, you will learn how to manipulate, explore and get insights...

Getting started with NVivo for Windows at UTS Online

Event

Does your research see you working through unstructured and non-numerical data? With the ability to collect, store and analyse different data types all in the one location makes, it’s easy to see why NVivo is becoming the tool of choice for many researchers.

NVivo allows researchers to...

Learn to Program: R at ACU

Event

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...

Exploring Chi-square and correlation in R at ACU

Event

This hands-on training is designed to familiarise you with the data analysis environment of the R programming. In this session, we will traverse into the realm of inferential statistics, beginning with correlation and reliability. We will present a brief conceptual overview and the R procedures...

Getting Started with NVivo for Mac at UNE Online

Event

Does your research see you working through unstructured and non-numerical data? With the ability to collect, store and analyse different data types all in the one location makes, it’s easy to see why NVivo is becoming the tool of choice for many researchers.

NVivo allows researchers to...

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Package
R for reproducible science

Package

A collection of training events and materials that relate to using R to provide training and background on helping me make my research reproducible.