Availabilities:
| Location | Domestic | International |
|---|---|---|
| Gold Coast | Term3 | Term3 |
| Melbourne | N/A | Term3 |
| Online | Term3 | N/A |
| Perth | N/A | Term3 |
| Sydney | N/A | Term3 |
Unit description
Provides students with the knowledge and skills to utilize contemporary data analytics tools to visualise and represent data in a clear and accessible manner and interpret its impact on business.
Unit content
Topic 1: Visual analytics for business decision making
Topic 2: Fundamental components for visualisation and graphics
Topic 3: Visually representing associations, correlations and distributions
Topic 4: Advanced graphics: visualising hierarchical associations
Topic 5: Advanced graphics: time series, maps and networks
Topic 6: Dashboard design and data storytelling for business applications
Learning outcomes
Unit Learning Outcomes express learning achievement in terms of what a student should know, understand and be able to do on completion of a unit. These outcomes are aligned with the graduate attributes. The unit learning outcomes and graduate attributes are also the basis of evaluating prior learning.
| On completion of this unit, students should be able to: | |
|---|---|
| 1 | apply analytical knowledge of the tools, principles, techniques of visual analytics to create effective data empowered graphics to facilitate insight generation and decision-making |
| 2 | understand the fundamental components of data graphics and develop data visualisations in a systematic approach |
| 3 | representing complex relationships of data using advanced visual techniques and presentations to enable interactive investigation of data |
| 4 | communicating effectively and professionally with visual products and interpreting outcomes. |
On completion of this unit, students should be able to:
- apply analytical knowledge of the tools, principles, techniques of visual analytics to create effective data empowered graphics to facilitate insight generation and decision-making
- understand the fundamental components of data graphics and develop data visualisations in a systematic approach
- representing complex relationships of data using advanced visual techniques and presentations to enable interactive investigation of data
- communicating effectively and professionally with visual products and interpreting outcomes.
Prescribed Learning Resources
- Prescribed text information is not currently available.
- Prescribed resources/equipment information is not currently available.
Teaching and assessment
Fee information
Domestic
Commonwealth Supported courses
For information regarding Student Contribution Amounts please visit the Student Contribution Amounts.
Fee paying courses
For postgraduate or undergraduate full fee paying courses please check Domestic Postgraduate Fees OR Domestic Undergraduate Fees
International
Please check the international course and fee list to determine the relevant fees.