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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)

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