Statistical Learning for Business (BUSA90536)
Graduate courseworkPoints: 12.5On Campus (Parkville)
Overview
Availability | March |
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Fees | Look up fees |
With the explosion of available data, statistical learning, which refers to the analysis of complex datasets, has become an important field in many business contexts including marketing, finance, and even human resource management. The aim of this component and the follow-on component in Advanced Business Analytics is to help students learn how to extract relevant information from large amounts of complex data to make improved business decisions. Topics covered in this component include data exploration, resampling methods, linear and nonlinear regression, parametric classification techniques and model selection.
Intended learning outcomes
On completion of this subject, students should be able to:
- Determine which techniques to apply to different types of data.
- Analyse large datasets and convert raw data into relevant information for management decisions, using parametric and semi-parametric methods.
- Develop presentation skills to convey this information to a non-technical audience.
Last updated: 4 March 2025