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 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...

NVivo Essentials: Online

Event

NVivo is computer software package produced by Lumivero that supports qualitative and mixed methods research. It has been designed for researchers working with very rich text-based and/or multimedia information, (including interviews, open-ended survey responses, picture/audio/video data,...

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.