Clustering Consumers using Liking/Acceptability data – access to live recording

The remote learning package consists of a recorded lecture delivered online by one of the Qi Statistics team, together with workshops for you to complete in your own time (solutions and data sets provided), plus a pdf of the lecture notes and email support whilst you are completing the workshop after the course for up to 2 weeks. More than just a recorded webinar and as close to face-to-face training as it can be!

The course content is as follows:

• • Quick overview of main clustering procedures (AHC, KMEANS, Latent Class)
  • Design Issues, data pre-processing
  • Investigating within cluster variation, trimming clusters using correlation
  • Cluster validation using ANOVA, simple plotting and PCA
  • Clustering incomplete data – how incomplete can my data be? Methods available.

   

• An extensive set of exercises with solutions (explanation of statistics and interpretation of maps) will be included as part of the training

To be able to perform the exercises you will need a full demo-version of XLSTAT (or licensed copy of XLSTAT Basic version).

Length of Session:

Approx 1hr + workshop

Course Pre-Requisites:

A basic understanding of statistics is assumed i.e. knowledge of statistical terminology and summary measures such as mean, variance, standard deviations.