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.
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These public courses are open for anyone to book. If you have any questions please don't hesitate to get in touch.
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
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
This one-day workshop gives an introduction to Bayesian Networks and their application to data from consumer and market research.
Statistics for Consumer Research
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
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
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©
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)
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)
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)
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)
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)
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
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
This course is a pre-recorded session and is a refresher for analysis of consumer research data
Bayesian Networks Webinar (Access to recording only)
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)
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?