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 tracy@qistatistics.co.uk with your postal address.
Showing 1–16 of 67 results
These public courses are open for anyone to book. If you have any questions please don't hesitate to get in touch.
Preference Modelling using partial least squares in XLSTAT - 7 December @ 14:00 (GMT)
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.
Applications of Experimental Design in Consumer Science - 12 and 13 December 2023 @ 1400 (GMT)
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.
The Why and How of Discrimination Testing using EyeOpenR - 17th January 2024 @ 14:00 (GMT)
This 2 hour Webinar delivered online will help you to understand more about discrimination tests and how to set them up in EyeOpenR.
Discrimination Tests using EyeOpenR: Beyond the Triangle and Tetrad - 24 January 2024 @ 14:00 (GMT)
This webinar delivered online will help you to understand more about specific discrimination tests and learn how to set them up in EyeOpenR, as well as interpret the results.
Maxdiff / Best Worst scaling - Theory and Practice (featuring XLSTAT and Qi MaxDiff Apps) - 30th January 2024 14.00 to 16.00 (GMT)
The remote learning package consists of a live interactive lecture delivered online by the Qi Statistics team, together with workshops for you to complete in your own time and email support.
Hands on Sensory Statistics - 20th, 22nd, 27th & 29th February 2024 @ 14:00 (GMT)
This course takes place over 4 half days. Each module is 3.5 hours and made up of a mix of talks and practical workshop exercises with solutions and interpretation of output.
Hands On Analysis of Consumer Data from Product Tests using XLSTAT - 5th, 7th, 12th & 14th March 2024 @ 9:00 (GMT)
This course takes place over 4 half days. Each module is 3.5 hours, made up of a mix of talks and practical workshop exercises with solutions and interpretation of output. Please note the time zone.
Preference Mapping using XLSTAT - 19th March 2024 @ 09:00 (GMT)
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 - 21st March 2024 @ 09:00 (GMT)
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.
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.
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.
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.
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?
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.
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.