Our statistical training courses for consumer research are for professionals wishing to take advantage of statistical methods to improve their market position. We apply key statistical techniques used in the analysis of data collected from consumer research studies, help you understand how product components work together to influence customers and optimise performance characteristics.
Examples of training include:
- Statistics for Consumer Research
- Introduction to Bayesian Network Analysis
- Experimental Design for product Reformulation, Optimisation & Preference Modelling
The training is often based on a suitable statistical software package and all modules can be customised to specific requirements. We currently offer the majority of our training using XLSTAT, R project, and SENPAQ.
Don’t see what you need or are you interested in our e-learning course Basic Sensory data analysis using SENPAQ? Then please get in touch and we will get back to you.
We also offer statistics training internationally in collaboration with Hal MacFie – for further details see Qi-Hal MacFie joint courses.
Why not download a copy of our training brochure.
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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.
Sensory Evaluation - Statistical Methods and Interpretation, Nottingham
Do you know how to analyse sensory data? Have you ever wondered why you analyse your sensory data using the techniques you do?
Qi-Sensenova International Statistics Training with Sensory Focus
A hands-on introduction to statistical methods needed by a consumer or sensory scientist, followed by an overview of further techniques available to address particular research questions.
The How and Why of Discrimination and Sensory Claims Tests, UK
This one day workshop covers the common issues with discrimination testing.
Hands on Sensory Statistics, London
This 3 day course forms a hands-on introduction to those statistical methods needed by a sensory scientist. Emphasis is given to the practical decision making based on the results of each analysis.