All online courses
These online courses are open for anyone to book. If you have any questions please don't hesitate to get in touch.
Hands on Sensory Statistics - 11, 13, & 18, 20 May 2021 @ 15:00 (BST/GMT+1)
Remote training
May 11, 2021
Virtual option available
This course takes place over 4 half days. Each module is 3 hours and made up of a mix of talks and practical workshop exercises with solutions and interpretation of output.
Hands On Analysis of Consumer Test Data using XLSTAT - 8, 10, 15 & 17 June 2021 @ 15:00 (BST/GMT+1)
Remote training
June 8, 2021
Virtual option available
This course takes place over 4 half days. Each module is 3 hours and made up of a mix of talks and practical workshop exercises with solutions and interpretation of output.
Preference Mapping using XLSTAT - 22 June @ 15:00 (BST/GMT+1)
Remote training
June 22, 2021
Virtual option available
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.
Preference Modelling using partial least squares in XLSTAT - 24 June @ 15:00 (BST/GMT+1)
Remote training
June 24, 2021
Virtual option available
This short course delivered online will show consumer scientists how to use partial least squares in XLSTAT for relating consumer acceptability to sensory / analytic measures.
Remote & Rapid Descriptive Methods - 5 - 9 July 2021 - with Sensory Dimensions
Online with Sensory Dimensions, UK
July 5, 2021
This 5 session event will introduce you to the theory, practice and statistical analysis of the rapid descriptive methods NAPPING, FLASH and FREE CHOICE PROFILING.
Discrimination Testing using EyeOpenR - access to recording of live session
Remote training
Webinar recording
This short course delivered online will help you to understand more about discrimination tests and how to set them up in EyeOpenR.
Correlation and Principal Components Analysis using EyeOpenR- access to recording of live session
Remote training
Webinar recording
This module focuses on the statistical techniques for examining and summarising the relationships between attributes, using correlation and principal components analysis.
Introduction to Correlation Analysis and Principal Components using XLSTAT - access to recording of live session
Remote training
Virtual option available
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 - access to recording of live session
Remote training
Virtual option available
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.
Analysis of Check All that Apply (CATA) and Rate All that Apply (RATA) - access to recording of live session
Remote training
Virtual option available
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)
Webinar recording
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)
Webinar recording
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)
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?
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.