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.
From Texts to Trends - Analysis of Text Data, Wed 30 Apr 2025, 1400hr (UTC/GMT)
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).
Assessing Panel and Panellist Performance using EyeOpenR, 20 May 2025 14:00 (GMT+1/UTC +1)
This short course delivered online will help you fully understand your sensory panel and how they may be performing.
Analysis of consumer data - C01 - Basic stats refresher
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
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)
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'
Hands on Sensory Statistics using XLSTAT - 30th Sept and 2nd, 7th & 9th Oct 2025 @ 9:30 (GMT)
This course takes place over 4 half days (AM). 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 - C2 - Key drivers analysis & simple modelling - what product attributes most impact consumer acceptance? (On Demand)
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)
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)
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
Analysis of consumer data - C5 - Improving & understanding your cluster solution to make better decisions (On demand)
Data quality checking for non discriminators, order effects, identifying outliers and non conformers, internal preference mapping. This course is an on demand version, not a live session.
Analysis of consumer data - C6 - Who likes what? Demographic segmentation of product acceptability (On Demand)
Do different demographics like different products? Are my liking clusters defined by demographics? On demand version!
Analysis of consumer data - C7 - Analysing "Just About Right" (JAR) scales for product optimisation (On demand)
Do my products differ by JAR scale? Do these diagnostics impact liking? Watch our on demand training and join in with the workshops in your own time
Analysis of consumer data - Module C8 - Using categorical variables to drive insights using correspondence analysis (CA) mapping (On Demand)
How the technique works, interpretation of maps etc Watch our on demand training and join in with the workshops in your own time
Analysis of consumer data - C9 - Using "Check All That Apply" (CATA) scales to understand consumer product choices (On Demand)
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 (On Demand)
Comparing product performance using percentage measures and Rate all that apply (RATA). Watch the video in our on demand training and join in with the workshops in your own time.
Conjoint Analysis using XLSTAT - access to recording of live session
This short course delivered online will help sensory and consumer scientists to understand how statistical techniques will improve the efficiency and outcomes of their choice experiments.