Statistical Learning and Data Mining (QBUS6810)
UNIT OF STUDY
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.
Further unit of study information
1x 2hr lecture and 1x 1hr tutorial per week
Group project (30%), in class quizzes (20%), and final exam (50%)
Faculty/department permission required?
Unit of study rules
Prerequisites and assumed knowledge
ECMT5001 or QBUS5001, ECMT5001 or QBUS5001, ECMT5001 or QBUS5001
Study this unit outside a degree
If you wish to undertake one or more units of study (subjects) for your own interest but not towards a degree, you may enrol in single units as a non-award student.
If you are from another Australian tertiary institution you may be permitted to underake cross-institutional study in one or more units of study at the University of Sydney.