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.
Analysis of consumer data - C1 - Liking scale data - are my products liked differently?
Remote training
February 18, 2025
Virtual option available
Comparing data distributions, are mean scores detected as different? This course is a live session, but a recording can also be purchased instead. See recorded webinars page for on-demand training.
Analysis of consumer data - C2 - Key drivers analysis & simple modelling - which product attributes most impact consumer acceptance?
Remote training
February 19, 2025
Virtual option available
Measuring and modelling relationships between variables. This course is a live session, but a recording can also be purchased. Please look in the 'recorded webinars' section of the website
Analysis of consumer data - C3 - Mapping products and visualising relationships between many variables using maps (PCA)
Remote training
February 20, 2025
Virtual option available
Principal components analysis for visualising product differences over many variables. This course is a live session, but a recording can also be purchased. Please contact us.
Analysis of consumer data - C4 - Who wants what? Clustering consumers using their product liking data
Remote training
February 25, 2025
Virtual option available
Data requirements and pre-processing. The two main techniques, Hierarchical Clustering (AHC) and K-Means Clustering explained and compared.
Analysis of consumer data - C5 - Improving & understanding your cluster solution to make better decisions
Remote training
February 26, 2025
Virtual option available
Data quality checking for non discriminators, order effects, identifying outliers and non conformers, internal preference mapping.
From Texts to Trends - Analysis of Text Data, Wed 26 Feb 2025, 1400hr (UTC/GMT)
Online
February 26, 2025
Virtual option available
Live training webinar to learn useful ways to quickly and easily summarise visualise and report text data, using the Qi TextVisualiseR app (course price includes 6 month access to software).
Analysis of consumer data - C6 - Who likes what? Demographic segmentation of product acceptability
Remote training
February 27, 2025
Virtual option available
Do different demographics like different products? Are my liking clusters defined by demographics?
Analysis of consumer data - C7 - Analysing "Just About Right" (JAR) scales for product optimisation
Remote training
March 4, 2025
Virtual option available
Do my products differ by JAR scale? Do these diagnostics impact liking?
Analysis of consumer data - C8 - Using categorical variables to drive insights using correspondence analysis (CA) mapping
Remote training
March 5, 2025
Virtual option available
How the technique works, interpretation of maps etc
Analysis of consumer data - C9 - Using "Check All That Apply" (CATA) scales to understand consumer product choices
Remote training
March 6, 2025
Virtual option available
Which CATA questions discriminate between sample? Visualising product difference in the CATA space using correspondence analysis.
Analysis of consumer data - C10 - Other scales, comparing products using "Rate All That Apply" (RATA), ranking and proportion data
Remote training
March 11, 2025
Virtual option available
Comparing product performance using percentage measures and Rate all that apply (RATA)
Analysis of consumer data - C12 - Further mapping methods, combining data from different sources on the same products
Remote training
March 12, 2025
Virtual option available
MFA and STATIS. Applications to measuring brand effects and analysis of napping data.
Analysis of consumer data - C13 - Predicting product performance from existing data using machine learning methods - Partial Least Squares (PLS) modelling
Remote training
March 13, 2025
Virtual option available
Technique to build models to predict one block of correlated data from another. Applications covered include models to predict liking (from sensory/analytic data) or to predict sensory from data.
Analysis of consumer data - C14 - Combining data sets to visualise the link between product characteristics & preferences - External preference mapping
Remote training
March 18, 2025
Virtual option available
A graphical technique to visualise how liking (by individual consumer or on average) varies over a product space and to thus predict “sweet spots” in the sensory space.
Analysis of consumer data - C15 - Looking at product differences using "Rapid" consumer methods: free sorting tasks
Remote training
March 19, 2025
Virtual option available
Design of studies, number of samples/number of assessors, analysis using multidimensional scaling and cluster analysis. Hierarchical sorting to gain more insights.
Hands on Sensory Statistics using XLSTAT - 25th & 27th March and 1st & 3rd April 2025 @ 14:00 (GMT)
Remote training
March 25, 2025
Virtual option available
This course takes place over 4 half days. Each module is 3.5 hours and made up of a mix of talks and practical workshop exercises with solutions and interpretation of output.
Analysis of consumer data - 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
Analysis of consumer data - C02 - Considerations when planning your study
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.
Analysis of consumer data - C1 - Liking scale data - are my products liked differently? (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'
Analysis of consumer data - 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
Analysis of consumer data - C3 - Mapping products and 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
Analysis of consumer data - 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