Statistical analysis of consumer data – Module C3 – Visualising relationships between many variables using maps (PCA) (On Demand)

Principal components analysis for visualising product differences over many variables.

What this course will cover:

• Principal component analysis – how it works a graphical explanation 
• Key outputs interpretation 
• Covariance v correlation PCA 
• Overlaying supplementary observations and variables – simple preference mapping 
• Rotating components to improve interpretability 

 Pre-requisite: familiarity with correlation, variaace and covariance and topics covered in statistical refresher module C01 

This course is not a live session, it is a recorded on demand session, with course materials to download. If you prefer a live session, these are held periodically or can be setup privately. Please get in touch on askqi@qistatistics.co.uk