Statistical analysis of consumer data – Module C4 – Who wants what? Clustering consumers using their product liking data

Product code: Product Optimisation

Remote training

October 15, 2024 - October 15, 2024

Virtual option available

Data requirements and pre-processing. The two main techniques, Hierarchical Clustering (AHC) and K-Means Clustering explained and compared.

What this course will cover:

  • Aim of the methods – data preprocessing. Agglomerative Hierarchical Classification (AHC) – how it works, which settings are best to use, deciding the number of clusters 
  • KMEANS for larger data sets how it works. 
  • Comparison of the methods – recommendation


This course is a live session, but a recording can also be purchased afterwards. Please contact us.

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$261.56 (Excluding any applicable taxes)

Other course information


You will need the latest version of XLSTAT installed on your computer. If you don’t have a licence you can download a 14-day trial version.


Each module is 2 hours.

Start time 2pm BST

Please check your time zones to make sure the timings are suitable for your country



Each Module: £200.00 ex VAT


For every five modules purchased, only pay for four

Academic Delegate discount is available.


Please contact us for more details.