Course description
This training provides a practical and structured approach to statistical process quality control in laboratory environments, focusing on how to ensure accuracy, consistency, and reliability of analytical results.
The course covers key statistical tools used in laboratories, including control charts, data analysis, measurement uncertainty, and method validation, with a strong emphasis on their application in day-to-day laboratory operations.
Participants will learn how to monitor process stability, detect deviations, and improve analytical performance, while ensuring compliance with quality standards and regulatory requirements. Through practical examples and exercises, the course bridges the gap between statistical theory and real laboratory practice.
The course links theory to application. It reinforces this through industry examples and allows participants to practice the theory through worked examples as part of the sessions. The course is interactive and participants are encouraged to share their own experiences and problems to the benefit of all.
