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Unit of study_
QBUS6860: Visual Data Analytics
2024 unit information
Accurate and effective analysis of data is a crucial skill in today's data-rich business environment. Visual Data Analytics (VDA) is an indispensable scientific tool for analysing all sorts of business-related data and, in particular, complex high-dimensional data. Applications include the visualisation of financial statements, capital market data, marketing data, supply chain data and many others. VDA has the ability to encode vast amounts of information into a small space that can be then intuitively interpreted for decision-making. This unit draws upon statistics, computer science, behavioural psychology and information design for visualising numerical and text data. It presents statistical and data analysis methods that are necessary for description, exploration, inference and diagnosis using data reduction, visual mining, smoothing, clustering and validation techniques. Upon completion of the unit, students should be proficient in producing high integrity visuals that enable fast and precise business decision-making. Students will also learn about the limitations of visual perception and how to design powerful visuals that can tap into our natural cognitive predisposition in favouring visual types of information.
Unit details and rules
Managing faculty or University school:
Business Analytics
| Code | QBUS6860 |
|---|---|
| Academic unit | Business Analytics |
| Credit points | 6 |
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Prerequisites:
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QBUS5001 or QBUS5002 |
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Corequisites:
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None |
| Prohibitions:
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None |
| Assumed knowledge:
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The unit assumes knowledge of statistics and confidence in working with data |
At the completion of this unit, you should be able to:
- LO1. Explore information using graphical methods.
- LO2. Match available data to the most appropriate visualisations to assist in problem solving.
- LO3. Use visualisation appropriately and effectively to support business decision making and business problem solving.
- LO4. Communicate your visual analytics results and explain your findings to a business audience.
- LO5. Critically evaluate visualisation methods, through individual and stimulating work with peers.
- LO6. Identify potential biases, which visualisations may generate, using developed experience in ethical and socially responsible visual analytics.
Unit availability
This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.
The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.
| Session | MoA ? | Location | Outline ? |
|---|---|---|---|
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Semester 1 2024
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Normal day | Camperdown/Darlington, Sydney | |
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Semester 2 2024
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Normal day | Camperdown/Darlington, Sydney |
Outline unavailable
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Modes of attendance (MoA)
This refers to the Mode of attendance (MoA) for the unit as it appears when you’re selecting your units in Sydney Student. Find more information about modes of attendance on our website.
