Applying the correct statistical techniques to sensory data is key to gaining a clear understanding of studies where there is a lot of natural variation. Failure to extract meaningful information from the data can lead to poor business and marketing decisions costing valuable resources. We routinely offer our training using EyeOpenR, XLSTAT, JMP®, ‘R’ (The R Project) and SPSS®
Find out more about our training courses and support by clicking on each of the links below. Don’t see what you need? Then please get in touch and we will get back to you. You can also download a copy of our training brochure. If you would like a printed copy of our brochure sent to you, please email askqi@qistatistics.co.uk with your postal address.
Showing 33–48 of 116 results
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 C1 - Liking scale data - are my products different?
Remote training
February 4, 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.
Statistical analysis of consumer data - Module C2 - Key drivers analysis & simple modelling - what product attributes most impact consumer acceptance?
Remote training
February 5, 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
Statistical analysis of consumer data - Module C3 - Visualising relationships between many variables using maps (PCA)
Remote training
February 6, 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.
Statistical analysis of consumer data - Module C4 - Who wants what? Clustering consumers using their product liking data
Remote training
February 11, 2025
Virtual option available
Data requirements and pre-processing. The two main techniques, Hierarchical Clustering (AHC) and K-Means Clustering explained and compared.
Statistical analysis of consumer data - Module C5 - Improving/understanding your Cluster solution to make better decisions
Remote training
February 12, 2025
Virtual option available
Data quality checking for non discriminators, order effects, identifying outliers and non conformers, internal preference mapping.
Statistical analysis of consumer data - Module C6 - Who likes what? Demographic segmentation of product acceptability
Remote training
February 13, 2025
Virtual option available
Do different demographics like different products? Are my liking clusters defined by demographics?
Statistical analysis of consumer data - Module C7 - Analysing "Just About Right" (JAR) scales for product optimisation
Remote training
February 25, 2025
Virtual option available
Do my products differ by JAR scale? Do these diagnostics impact liking?
Statistical analysis of consumer data - Module C8 - Using categorical variables to drive insights using correspondence analysis (CA) mapping
Remote training
February 26, 2025
Virtual option available
How the technique works, interpretation of maps etc
Statistical analysis of consumer data - Module C9 - Using "Check All That Apply" (CATA) scales to understand consumer product choices
Remote training
February 27, 2025
Virtual option available
Which CATA questions discriminate between sample? Visualising product difference in the CATA space using correspondence analysis.
Statistical analysis of consumer data - Module C10 - Comparing products using "Rate All That Apply" (RATA) and Proportion data
Remote training
March 4, 2025
Virtual option available
Comparing product performance using percentage measures and Rate all that apply (RATA)
Statistical analysis of consumer data - Module C12 - Comparing products using "Rapid" methods: Napping data (Projective Mapping)
Remote training
March 5, 2025
Virtual option available
MFA and STATIS. Applications to measuring brand effects and analysis of napping data.
Statistical analysis of consumer data - Module C13 - Predicting product performance from existing data using machine learning methods - Partial Least Squares (PLS) regression modelling
Remote training
March 6, 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.
Statistical analysis of consumer data - Module C14 - Combining data sets to visualise the link between product characteristics & preferences - External preference mapping
Remote training
March 11, 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.
These courses can be run at your office, or another location, specifically for your team. If you have any questions please don't hesitate to get in touch.
Experimental Design for Product Reformulation, Optimisation and Preference Modelling
1 -3 days
This course is aimed at researchers and new product developers who need to understand how product components work together to influence consumers and to optimise performance characteristics.
Introduction to Bayesian Network Analysis for Market and Consumer Research
1 day
This one-day workshop gives an introduction to Bayesian Networks and their application to data from consumer and market research.
Statistics for Consumer Research
1 - 3 days
Training is in three, one day modules. Modules cover key statistical techniques used in the analysis of the data scales commonly collected in consumer research studies to compare products or brands.
Introduction to Statistics using R
2 days
This course aims to familiarize you with the R environment, and will give you freedom in running statistical analyses in R.
Statistics for Sensory Analysis
2 - 3 days
We offer training in three one day modules, any one of these can be run on its own or combined with the other modules into a two or three day training course.
Analysis of Sensory data using SenPAQ©
Half day
This short course covers the basics of how to use SenPAQ to perform popular techniques for analysing sensory and consumer data, and then understanding and interpreting the output.
Understanding Basic Statistics (Non-software based)
0.5 - 1 day
A course for professionals who need to understand statistics reports and presentations and interpret what they see correctly to make informed decisions, rather than carry out analyses themselves.
These webinar recordings are available for anyone to purchase. Please check the public course listing if you'd prefer to attend a live event. If you have any questions please don't hesitate to get in touch.
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
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 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 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 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 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
Bayesian Networks Webinar (Access to recording only)
Webinar recording
Do you want to understand how you could use Bayesian Networks? Find out what they are, understand the terminology and see some examples.
Panel Performance Webinar (Access to recording only)
Webinar recording
Do you want to understand the differences between your panel members? Is it due to the products they are testing, or their use of the scale, or their ability to discriminate, or their repeatability?