Availabilities:
Not currently available in 2022
Unit description
Teaches students the tools and strategies to present data analytics insight in a clear and accessible manner to aid decision-making. Focuses heavily on practice-based learning where students repeat the cycle of practice, feedback and reflection.
Unit content
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 | compare and contrast different data visualisation methods |
| 2 | design effective data visualisations for multiple stakeholders |
| 3 | develop data visualisations by applying contemporary visualisation libraries and tools |
| 4 | design and tell compelling stories to effectively communicate with stakeholders |
On completion of this unit, students should be able to:
- compare and contrast different data visualisation methods
- design effective data visualisations for multiple stakeholders
- develop data visualisations by applying contemporary visualisation libraries and tools
- design and tell compelling stories to effectively communicate with stakeholders
Teaching and assessment
Fee information
Domestic
Commonwealth Supported courses
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Fee paying courses
For postgraduate or undergraduate full fee paying courses please check Domestic Postgraduate Fees OR Domestic Undergraduate Fees
International
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