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Unit of Study

Statistical Learning and Data Mining
UoS Code QBUS6810
Credit points 6
Offered Semester 2
Prerequisites ECMT5001 or QBUS5001
Assumed Knowledge
Additional Information
Lectures 1x 2hr lecture and 1x 1hr tutorial per week
Assessment group project (25%), in-class quizzes (25%), final exam (50%)
Description 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.