Data Visualisation

INF20024 12.5 Credit Points Hawthorn


  • One Semester or equivalent

Contact hours

  • 108 Hours

On-campus unit delivery combines face-to-face and digital learning.

Aims and objectives

This unit prepares students to explore a range of techniques and technologies to develop narratives and visualisations of different types of data. These types of data could include open data sets, business, industrial or scientific. Students will undertake the process of collecting and cleansing the data, apply appropriate models and algorithms to achieve a set that is suitable for visualisation.

Unit Learning Outcomes (ULO)

Students who successfully complete this unit will be able to:

1. Develop strategies to define the scope of the data presentation requirements.
2. Examine and report on the potential ethical and biases of interpreting data
3. Develop data models and apply machine learning to large data sets
4. Demonstrate high-level understanding of modelled data to produce insights
5. Produce data visualisations with the use of data-driven tools
6. Evaluate the output against the project scope and the organisations goals.