Predictive Analytics (QBUS6840)

UNIT OF STUDY

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 course, students gain skills required to succeed in today's highly analytical and data-driven economy. This course introduces the basics of data management, business forecasting, decision trees, logistic regression, and predictive modelling. The course features corporate case studies and hands-on exercises to demonstrate the concepts presented. the course makes use of SAS software.

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Further unit of study information

Classes

1 x 2hr lecture and 1 x 1hr tutorial

Assessment

Assignment (30%), Mid-semester exam (30%), and Final exam (40%)

Faculty/department permission required?

No

Unit of study rules

Prerequisites and assumed knowledge

QBUS5001 or ECMT5001

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Cross-institutional study

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.

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