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 81–96 of 131 results
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Maximising the value of your data using EyeOpenR® – contact us for dates
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Modeling Trends and Forecasting for Business Analysis
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Panel Performance using EyeOpenR
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Panel Performance Webinar (Access to recording only)
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Preference Mapping using XLSTAT – 11 April 2022 @ 07:30 POSTPONED
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Preference Mapping using XLSTAT – 19th March 2024 @ 09:00 (GMT)
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Preference Mapping using XLSTAT – 21 March 2023 @ 15:00 (GMT)
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Preference Mapping using XLSTAT – 22 June 2021 @ 15:00 (BST/GMT+1)
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Preference Mapping using XLSTAT – 5 December 2023 @ 14:00 (GMT)
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Preference Modelling using partial least squares in XLSTAT – 12 April 2022 @ 07:30 POSTPONED
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Preference Modelling using partial least squares in XLSTAT – 21st March 2024 @ 09:00 (GMT)
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Preference Modelling using partial least squares in XLSTAT – 23 March 2023 @ 15:00 (GMT)
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Preference Modelling using partial least squares in XLSTAT – 24 June 2021 @ 15:00 (BST/GMT+1)
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Preference Modelling using partial least squares in XLSTAT – 7 December @ 14:00 (GMT)
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Process Capability Workshop
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Process Capability Workshop (R&D)