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 49–64 of 131 results
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Hands on Sensory Statistics – 1, 3, 8, 10 October 2024 @ 09:00 (GMT+1/UTC+1)
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Hands on Sensory Statistics – 20th, 22nd, 27th & 29th February 2024 @ 14:00 (GMT)
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Hands on Sensory Statistics – 9, 12, 16, 17 May 2022 @ 15:00 (BST /GMT+1)
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Hands on Sensory Statistics, London
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Hands on Sensory Statistics, New York
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Hands on Sensory Statistics, New York – postponed
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How to Communicate Statistical Concepts
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Improving Influence and Increasing Impact: Essential Skills for Statisticians, Programmers & Scientists
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Introduction to Bayesian Analysis for Sensory & Consumer Scientists
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Introduction to Bayesian Methods
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Introduction to Bayesian Network Analysis for Market and Consumer Research
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Introduction to Bayesian Network Analysis for Market and Consumer Research
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Introduction to Correlation Analysis and Principal Components using XLSTAT – access to recording of live session
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Introduction to Correlation Analysis and Principal Components, 21st May 0800am (GMT+1/BST)
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Introduction to Correlation Analysis and Principal Components, 21st May 2pm (GMT+1/BST)
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Introduction to Machine Learning – for those who fear being left behind! – 1st November 2023 @ 14:00 (GMT)