What will I learn?

Producing attractive, informative data visualisations is critical to the effective communication of quantitative data. This micro-credential introduces students to modern data exploration tools and strategies using the R language. Enrollees will learn how to quickly, efficiently and reproducibly extract insights from data and produce high-quality data visualisations. These skills will be developed and demonstrated using a range of complex datasets, across a range of applications including public health and the environmental sciences. The skills acquired in this unit are transferable to data from any domain.

Learning outcomes

Upon successful completion, enrollees will have the knowledge and skills to:

Work confidently within the R environment
Import and manipulate datasets
Create complex, customised visualisations
Write R scripts that allow this work to be reproduced

Indicative assessment

Enrollees will be provided with an example dataset, and will be tasked with exploring these data, producing a number of informative visualisations, and compiling these into a report alongside code and a brief discussion of each figure (approximately 1000 words total).

Micro-credential stack information

This micro-credential may be undertaken as a stand-alone course.

Which department am I in?

ANU College of Science

Study options

Online/Distance with attendance (21 hours)

Tuition fees
Information not available
Start date

To be confirmed


The Australian National University

Acton Campus,


Australian Capital Territory,

2601, CANBERRA, Australia

Entry requirements

For international students

This micro-credential is taught at graduate level and assumes the generic skills of a Bachelors or equivalent.

*There may be different IELTS requirements depending on your chosen course.