Skip to main content
Unit of study_

QBUS6840: Predictive Analytics

To be effective in a competitive business environment, a business analyst needs to be able to use predictive analytics to translate information into decisions 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.

Code QBUS6840
Academic unit Business Analytics
Credit points 6
(QBUS5001 or ECMT5001 or STAT5003) and (a mark of 65 or greater in BUSS6002 or COMP5310 or COMP5318)

At the completion of this unit, you should be able to:

  • LO1. Select and use the appropriate technique to analyse the structure of time series data
  • LO2. Analyse real business data considering the characteristics of time-series data.
  • LO3. Demonstrate proficiency in the use of statistical software, e.g. Python, for the implementation of predictive models
  • LO4. Select and use an appropriate technique to predict the future behaviour of business variables of interest, including the prediction of discrete outcomes.
  • LO5. Work productively and collaboratively in a team