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 LTU Online

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...

Learn to Program: R at UNSW Online

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...

Getting Started with NVivo for Mac at LTU 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...

Getting started with NVivo for Windows at LTU 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: Python at LTU Online

Event

Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you’d expect of a modern programming language, and also a rich set of libraries for working with data.

We teach using Jupyter notebooks, which allow program code,...

My favourites

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.