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.
Browse all training by course format (or browse by topic below)
Browse all training by topic
Showing 17–32 of 137 results
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Analysis of consumer data – C2 – Key drivers analysis & simple modelling – which product attributes most impact consumer acceptance?
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Analysis of consumer data – C3 – Mapping products and visualising relationships between many variables using maps (PCA)
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Analysis of consumer data – C3 – Mapping products and visualising relationships between many variables using maps (PCA) (On Demand)
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Analysis of consumer data – C4 – Who wants what? Clustering consumers using their product liking data
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Analysis of consumer data – C4 – Who wants what? Clustering consumers using their product liking data (On Demand)
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Analysis of consumer data – C5 – Improving & understanding your cluster solution to make better decisions
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Analysis of consumer data – C5 – Improving & understanding your cluster solution to make better decisions (On demand)
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Analysis of consumer data – C6 – Who likes what? Demographic segmentation of product acceptability
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Analysis of consumer data – C6 – Who likes what? Demographic segmentation of product acceptability (On Demand)
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Analysis of consumer data – C7 – Analysing “Just About Right” (JAR) scales for product optimisation
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Analysis of consumer data – C7 – Analysing “Just About Right” (JAR) scales for product optimisation (On demand)
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Analysis of consumer data – C8 – Using categorical variables to drive insights using correspondence analysis (CA) mapping
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Analysis of consumer data – C9 – Using “Check All That Apply” (CATA) scales to understand consumer product choices
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Analysis of consumer data – C9 – Using “Check All That Apply” (CATA) scales to understand consumer product choices (On Demand)
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Analysis of consumer data – Module C8 – Using categorical variables to drive insights using correspondence analysis (CA) mapping (On Demand)
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Analysis of Questionnaire/Survey Data, Oct 2023