Unsupervised Multivariate Methods

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How you should study for this module?

  • View all video lessons and corresponding slide sets
  • Practice with the code samples from the lessons
  • Complete all topics assignments. (Mandatory) 
  • Undertake the case study
  • Study the exam practice questions before the exam
Module overview
Data reduction is a key process in business analytics projects. In this unit, you will learn data reduction methods such as PCA, factor analysis and MDS. You will also learn to form segments using cluster analysis methods. Forming segments and then analysing is a key technique for large data sets and their intrinsic information comes out in detail once segmented thoughtfully.
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assessment requirments
In order to complete this module successfully you will need to 
  1. Attend the scheduled live classes (or view the recorded session)
  2. Watch all learning content on the platform
  3. Complete all topic assignments
  4. Submit case study answers
  5. Pass the module exam with a minimum grade of 50%

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Course Lessons

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