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.
1 x 2hr lecture and 1 x 1hr tutorial
group assignment (30%); homework assignment (15%); mid-semester test (20%); final exam (35%)
(QBUS5001 or ECMT5001) and BUSS6002