At Qi Statistics we pride ourselves in our approach to training. Our emphasis is always on applying the statistical techniques and interpreting the results rather than the underlying mathematics.
Because no two companies are identical, training needs to be modular and flexible. Whether it is the industry application, a requirement for particular techniques, the number of participants, the experience of participants or simply the time available for training, there is always a need for tailoring the course and delivering it in a timely fashion. With a combination of our “On the Job” or classroom-based training and our cafeteria-style curriculum (select topics from a checklist), we can tailor a training programme to meet your exact needs. We offer a range of public courses in Europe, US, Asia and Australia/New Zealand from basic statistics to masterclasses in specialised topics.
Although the most effective training is face-to-face, we recognise the need for eLearning and Webinars, and have online offerings too.
Qi are pleased to be offering courses previously managed and jointly given by Hal Macfie and Qi – please direct all enquiries to Qi Statistics from now on.
Browse all training by topic
Showing 113–128 of 131 results
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Statistical analysis of consumer data – Module C3 – Visualising relationships between many variables using maps (PCA)
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Statistical analysis of consumer data – Module C3 – Visualising relationships between many variables using maps (PCA) (On Demand)
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Statistical analysis of consumer data – Module C4 – Who wants what? Clustering consumers using their product liking data
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Statistical analysis of consumer data – Module C4 – Who wants what? Clustering consumers using their product liking data (On Demand)
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Statistical analysis of consumer data – Module C5 – Improving/understanding your Cluster solution to make better decisions
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Statistical analysis of consumer data – Module C6 – Who likes what? Demographic segmentation of product acceptability
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Statistical analysis of consumer data – Module C7 – Analysing “Just About Right” (JAR) scales for product optimisation
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Statistical analysis of consumer data – Module C8 – Using categorical variables to drive insights using correspondence analysis (CA) mapping
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Statistical analysis of consumer data – Module C9 – Using “Check All That Apply” (CATA) scales to understand consumer product choices
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Statistics for Consumer Research
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Statistics for Sensory Analysis
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Text VisualizeR
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The How and Why of Discrimination and Sensory Claims Tests, UK
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The Why and How of Discrimination Testing using EyeOpenR – 12 May 2022 @ 15:00 (GMT+1/BST)
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The Why and How of Discrimination Testing using EyeOpenR – 17th January 2024 @ 14:00 (GMT)
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Understanding Basic Statistics (Non-software based)