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

Getting started with NVivo for Windows 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...

Data Manipulation and Visualisation in R at UC 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 UC 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...

An Introduction to Mixed Method Research Design: Online

Event

In this Master-class we will examine the key features of mixed methods research designs.

We will explore the different types of mixed method design. Critically analyse the benefits and challenges associated with the design and implementation of each design type. Examine approaches to...

Introduction to Python for Social Sciences: Online

Event

One of the key skills in data science is making effective use of the Python software for manipulating data and generating results. Python is an established software environment used in the world of data science. In this course, you will be introduced to basic data wrangling, descriptive...

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.