All courses
At Qi Statistics our emphasis is on how to choose and apply the correct methods and interpret the results rather than the underlying mathematics.
We can tailor a training programme to meet your exact needs (timing, length, format, software and topics) and also offer a range of public courses on-demand, online, or face-to-face worldwide, from basic statistics to masterclasses in specialised topics.
Showing 12 of 29 courses
Analysis of consumer data - C01 - Basic stats refresher
This course is a pre-recorded session and is a refresher for analysis of consumer research data
Analysis of consumer data - C02 - Considerations when planning your study
This course is a pre-recorded session and is a refresher for the Statistical analysis of consumer data course series.
Conjoint Analysis using XLSTAT - access to 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.
Live - The How and Why of Preference Mapping for Product Optimisation - 22nd April 2026
Case studies illustrating the key concepts when linking consumer scores and product characteristics and looking for ideal products using mapping techniques.
Hands on Sensory Statistics using XLSTAT - 29 Sept & 1, 6, 8 Oct 2026 @ 1400hr UTC+1/GMT+1
This course takes place over 4 half days (PM). Each module is 3.5 hours and made up of a mix of talks and practical workshop exercises with solutions and interpretation of output.
Applications of Experimental Design in Consumer Research - Case studies (On demand)
Case Studies illustrating product insights and optimisation Experimental Design methods are now widely used to optimise manufacturing processes and have an important role in product development.
Analysis of consumer data - C1 - Liking scale data - are my products liked differently? (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'
Analysis of consumer data - 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
Analysis of consumer data - C3 - Mapping products and 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
Analysis of consumer data - 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
Analysis of consumer data - C5 - Improving & understanding your cluster solution to make better decisions (On demand)
Data quality checking for non discriminators, order effects, identifying outliers and non conformers, internal preference mapping. This course is an on demand version, not a live session.
Analysis of consumer data - C6 - Who likes what? Demographic segmentation of product acceptability (On Demand)
Do different demographics like different products? Are my liking clusters defined by demographics? On demand version!