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Unit of study_
QBUS6840: Predictive Analytics
2024 unit information
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.
Unit details and rules
Managing faculty or University school:
Business Analytics
| Code | QBUS6840 |
|---|---|
| Academic unit | Business Analytics |
| Credit points | 6 |
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Prerequisites:
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(QBUS5001 or ECMT5001 or STAT5003) and (a mark of 65 or greater in BUSS6002 or COMP5310 or COMP5318) |
|---|---|
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Corequisites:
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None |
| Prohibitions:
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None |
| Assumed knowledge:
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None |
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
Unit availability
This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.
The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.
| Session | MoA ? | Location | Outline ? |
|---|---|---|---|
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Semester 1 2024
|
Normal day | Camperdown/Darlington, Sydney | |
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Semester 2 2024
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Normal day | Camperdown/Darlington, Sydney |
Outline unavailable
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Modes of attendance (MoA)
This refers to the Mode of attendance (MoA) for the unit as it appears when you’re selecting your units in Sydney Student. Find more information about modes of attendance on our website.
