This course is available as a live online training or a pre-recorded on demand training session.
What this course will cover:
- Aim of the statistics clustering methods – why do we need to do clustering?
- Data pre-processing for analysis before we start.
- Method 1: Agglomerative Hierarchical Classification (AHC) – how it works, which settings are best to use, deciding the number of clusters, when to use it
- Method 2: K-MEANS – a method for larger data sets – how it works, settings, when to use it
- Comparison of the methods – recommendations
Pre-requisite: familiarity with basic statistics Module C01 and C02 (available as pre-recorded on demand sessions on our website)
Software used: XLSTAT (free 14-day trial version is available from their website here)
This is just one module from the Statistical analysis of consumer data training course. For a full list of other course modules have a look at our website here: https://www.qistatistics.co.uk/product-category/training/sensory-consumer/ – also shown in the infographic at the end of the course.
