The application of statistical methods plays a fundamental role in the development, improvement and optimisation of new products and processes. The interpretation of data in the presence of variation requires basic statistical skills while experimental design techniques are used to understand the influence and interaction of product and process variables. With this knowledge it is possible to design and optimise their quality characteristics, and, using process capability studies, monitor their performance.
Example courses include:
- Statistics Fundamentals for R&D and Manufacturing
- Experimental Design for R&D and Manufacturing
- Process Capability Workshop
Training courses can be delivered using one of a range of commercially available statistical software packages.
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These public courses are open for anyone to book. If you have any questions please don't hesitate to get in touch.
Making Sense of Multivariate Data using XLSTAT - 4 x half days - 10th, 11th, 17th November @ 14:00 (GMT) and 18th November @ 09:00(GMT)
This course is what you need if you collect many measurements to help you understand the products, people or environment that you are working with and want to analyse them in XLSTAT.
These courses can be run at your office, or another location, specifically for your team. If you have any questions please don't hesitate to get in touch.
Process Capability Workshop (R&D)
We offer this training to enable the understanding of statistical process capability measures (Cp, Cpk, etc) and to interpret capability analysis outputs.
Experimental Design for Process Development and Improvement (R&D)
The aim of the course is to introduce attendees to the benefits of statistical experimental design.
Statistic Fundamentals for Research & Industry Using Statistical Software
Covers the easy-to-use features in statistical software for investigating, visualising and performing basic statistical techniques on data sets typical to research and industry settings.