Introduction to Bayesian Network Analysis for Market and Consumer Research

Pre-requisite
A knowledge of basic statistical techniques and concepts is assumed.

Course Summary
This one-day workshop gives an introduction to Bayesian Networks and their application to data from consumer and market research.

Flexibility
We can customise the module content to meet specific requirements.

Course Content

• Introduction – Bayesian probability models
• Automatic learning algorithms
• Statistical aspects – measures of fit
• Applications to consumer data
  • Clustering variables
  • Identifying drivers of liking
• Cross Validation
• Hands on exercises
• Comparisons with traditional preference modelling techniques