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Advances in information technology have made available rich information data sets, often generated automatically as a by-product of the main institutional activity of a firm or business unit. Data Mining deals with inferring and validating patterns, structures and relationships in data, as a tool to support decisions in the business environment. This unit offers an insight into the main statistical methodologies for the visualisation and the analysis of business and market data, providing the information requirements for specific tasks such as credit scoring, prediction and classification, market segmentation and product positioning. Emphasis is given to empirical applications using modern software tools.
Study level | Undergraduate |
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Academic unit | Business Analytics |
Credit points | 6 |
Prerequisites:
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QBUS2820 |
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Corequisites:
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None |
Prohibitions:
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None |
Assumed knowledge:
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None |
At the completion of this unit, you should be able to:
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 2025
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Normal day | Camperdown / Darlington, Sydney |
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Session | MoA ? | Location | Outline ? |
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Semester 1 2020
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Normal day | Camperdown / Darlington, Sydney |
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Semester 1 2021
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Normal day | Camperdown / Darlington, Sydney |
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Semester 1 2021
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Normal day | Remote |
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Semester 1 2022
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Normal day | Camperdown / Darlington, Sydney |
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Semester 1 2022
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Normal day | Remote |
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Semester 1 2023
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Normal day | Camperdown / Darlington, Sydney |
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Semester 1 2024
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Normal day | Camperdown / Darlington, Sydney |
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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.