It is now common for businesses to have access to very 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 visualization and the analysis of business and market data. It provides the tools necessary to extract information required for specific tasks such as credit scoring, prediction and classification, market segmentation and product positioning. Emphasis is given to business applications of data mining using modern software tools.
Unit details and rules
Academic unit | Business Analytics |
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Credit points | 6 |
Prerequisites
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(ECMT5001 or QBUS5001 or STAT5003) |
Corequisites
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(BUSS6002 or COMP5310 or COMP5318) |
Prohibitions
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None |
Assumed knowledge
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None |
Available to study abroad and exchange students | Yes |
Teaching staff
Coordinator | Peter Radchenko, peter.radchenko@sydney.edu.au |
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