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 inappropriate marketing decisions costing valuable resources. We routinely offer our training using XLSTAT, JMP®, EyeOpenR and ‘R’ (The R Project).
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.
Showing 1–16 of 55 results
These public courses are open for anyone to book. If you have any questions please don't hesitate to get in touch.
Assessing Panel and Panellist Performance using EyeOpenR, 4th November 14:00 (GMT)
This short course delivered online will help you fully understand your sensory panel and how they may be performing.
Rapid Descriptive Methods, Nov 2020 - Sensory Dimensions Nottingham
This one day event will introduce you to the theory and practice of the rapid descriptive methods NAPPING, FLASH and FREE CHOICE PROFILING, with an analysis masterclass.
Making Sense of Multivariate Data using XLSTAT - 4 x half days - 10th, 11th, 17th and 19th November @ 14:00 (GMT)
This course is what you need if you collect many measurements to help you understand the products, people or environment that you are working with and want to analyse them in XLSTAT.
Correlation and Principal Components Analysis using EyeOpenR, 25 November 14:00 (GMT)
This module focuses on the statistical techniques for examining and summarising the relationships between attributes, using correlation and principal components analysis.
Hands on Sensory Statistics, New York – postponed
This 3 day course forms a hands-on introduction to key statistical methods needed by a sensory scientist. Emphasis is given to the practical decision making based on the results of each analysis.
Analysis of Variance for Sensory & Consumer Tests – Beyond the Basics, 3 December 15:00 (GMT)
This workshop gives you the opportunity to consider issues that we are sure you worry about from time to time in your everyday analysis of consumer and sensory test data.
Introduction to Correlation Analysis and Principal Components - recording of live session
This short course delivered online will show sensory scientists how to apply multivariate statistics methods to summarising and visualising relationships between attributes in their studies.
Conjoint Analysis using XLSTAT - 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.
Using Experimental Design Techniques to Optimise Products (2 x 1hr sessions) - recording of live sessions
This short course delivered online will help sensory and consumer scientists to understand how statistical techniques for designing studies will improve the outcomes of their sensory/consumer tests.
Preference Mapping using XLSTAT - recording of live sessions
This short course delivered online will show consumer scientists how to set up and learn about the routines available in XLSTAT for relating consumer acceptability to sensory/analytic measures.
Analysis of Check All that Apply (CATA) and Rate All that Apply (RATA) - recording of live webinar
This session will show how to apply statistical analysis methods to summarising and visualising relationships between 'Check-All-That-Apply' or 'Rate-All-That-Apply' data
Discrimination Webinar (access to recording only)
This webinar helps sensory and consumer scientists to decide which discrimination tests to consider based on their objectives and how to analyse the data obtained.
Sensory Methodologies Webinar (access to recording only)
In this seminar Thierry Worch discusses and compares the 12 most common methods for analysing sensory and consumer data.
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?
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.
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
For 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 data 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 Duration
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.
Maximising the value of your data using EyeOpenR®
This course covers the features in the recently launched new EyeOpenR® software for investigating, visualising and performing common statistical techniques on data sets typical to sensory research.
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.
Basic Statistics Training Course Program (Non-software based)
To enable participants to understand statistics reports/presentations, and interpret what they see correctly to make informed decisions, rather than carry out analysis themselves.