MonMap
A course mapper by Monash Association of Coding (MAC)
Unsupervised learning for business
ETW2500
Synopsis
Unsupervised learning for business is a specialised field within machine learning that focuses on extracting valuable insights and knowledge from unlabelled data in a business context. Unlike supervised learning, which relies on labelled data for training, unsupervised learning algorithms work with unstructured or unlabelled data to discover patterns, structures, or relationships that may not be immediately apparent. This unit explores various techniques and methodologies used in unsupervised learning to address specific business challenges and opportunities. It delves into applying these techniques to large and complex datasets, enabling businesses to make data-driven decisions and gain a competitive advantage.
Sourced from the Monash Handbook 2026.
Quick facts
- Credit points
- 6
- Level
- 2
- Audience
- Undergraduate
- Type
- Coursework
- School
- Faculty of Business and Economics
- Faculty
- Department of Econometrics and Business Statistics
- Handbook year
- 2026
Prerequisites (2)
- ETW2001 ETW2001
- Mathematical statisticsETM1030
What it unlocks (1)
Offerings (2)
- First semesterMalaysia · ON-CAMPUS
- Second semesterMalaysia · ON-CAMPUS
Listed in 2 areas of study
- Business analyticsCore units
- Business analyticsMalaysia additional units