All public courses
These public courses are open for anyone to book. If you have any questions please don't hesitate to get in touch.
Statistical analysis of consumer data - Module C01 - Basic stats refresher
Remote training
Virtual option available
This course is a pre-recorded session and is a refresher for analysis of consumer research data
Statistical analysis of consumer data - Module C02 - Considerations when planning your consumer trial
Remote training
Virtual option available
This course is a pre-recorded session and is a refresher for the Statistical analysis of consumer data course series.
Statistical analysis of consumer data - Module C1 - Liking scale data - are my products different? (On Demand)
Remote training
Virtual option available
Comparing data distributions, are mean scores detected as different? This course is an on demand version, not a live session. Details of the live session are on the website under 'Public courses'
Statistical analysis of consumer data - Module C2 - Key drivers analysis & simple modelling - what product attributes most impact consumer acceptance? (On Demand)
Remote training
Virtual option available
Measuring and modelling relationships between variables. This course is not a live session, but an on demand recording with workshops and data for you to download
Statistical analysis of consumer data - Module C3 - Visualising relationships between many variables using maps (PCA) (On Demand)
Remote training
Virtual option available
Principal components analysis for visualising product differences over many variables. This course is not a live session, it is a recorded on demand session, with course materials to download
Statistical analysis of consumer data - Module C4 - Who wants what? Clustering consumers using their product liking data (On Demand)
Remote training
Virtual option available
Data requirements and pre-processing. The two main techniques, Hierarchical Clustering (AHC) and K-Means Clustering explained and compared. This course is not a live session - it is on demand