2014 Unit of Study

The session(s) below are for 2014. For Summer School 2014 unit of study availability please visit the Summer School website (main Summer session January/February 2014).

The University of Sydney session calendar shows exact dates for sessions.

Predictive Analytics
UoS Code QBUS6840
Credit points 6
Offered Semester 1
Prerequisites QBUS5001 or ECMT5001
Corequisites
Prohibitions
Assumed Knowledge
Additional Information
Lectures 1 x 2hr lecture and 1 x 1hr tutorial
Assessment Assignment (35%), Mid-semester exam (35%), and Final exam (30%)
Description To be effective in a competitive business environment, a business analyst needs to be able to use predictive analytics to translate information into decision and to convert information about past performance into reliable forecasts. An effective analyst also should be able to identify the analytical tools and data structures to anticipate market trends. In this unit, students gain skills required to succeed in today's highly analytical and data-driven economy. The unit introduces the basics of data management, business forecasting, decision trees, logistic regression, and predictive modelling. The unit features corporate case studies and hands-on exercises to demonstrate the concepts presented. The unit also makes use of SAS software.
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