Training
To help you get the most from your measurements, in addition to reference materials and proficiency testing, LGC also provides a range of training courses on analytical quality topics such as method validation, measurement uncertainty and experimental design. Attending these courses will help you meet accreditation and regulatory requirements and give your customers confidence in the quality of your data.
LGC has been granted the status of Cogent assured provider, in recognition of training that supports science industry employers in attracting, retaining and developing the best people. Cogent has an assured network of training providers who meet rigorous standards to ensure the highest quality training is provision.
Our training courses provide best practice guidance for all laboratory personnel, whether working at the bench or in management and focus on the application of the content to the laboratory environment. All our courses have a strong hands-on component, to provide an opportunity to practise newly acquired knowledge. Our most popular courses are:
Method validation:
This three-day course introduces the statistics required for interpreting validation data and provides the tools to plan and carry out effective validation studies. Method validation is the process that provides evidence that a test method is capable of providing data that are suitable for a particular application. It is a requirement of the ISO/IEC 17025 laboratory accreditation standard and many other sectoral regulations and directives. More information and booking instructions.
Estimation of measurement uncertainty:
This two-day course covers the most common approaches to evaluating measurement uncertainty, following the ISO principles and using method validation data. Uncertainty in measurement results is due to unavoidable errors in the measurement process. Knowledge of this uncertainty allows a judgement to be made as to whether the data are likely to be ‘fit for purpose’. This course provides a practical approach to evaluating uncertainty in testing laboratories. More information and booking instructions.
Designing effective experiments:
Modern analytical methods and production processes are complex, with many different factors affecting the outcome. In order to be competitive, companies need to minimize resources expended on development and maximize process performances. Design of Experiments (DoE) enables these complex situations to be understood, reducing the cost of gaining an in-depth knowledge of the process which can be translated into competitive advantage. More information and booking instructions.
Statistics for analytical scientists:
This one-day course is aimed at analysts and covers the statistics most commonly applied to analytical data. It will allow analysts to answer questions such as, ‘Which is the best way to summarise my data?’, ‘Is there a real difference between the results produced by different test methods?’, ‘How should I evaluate the results obtained from an instrument calibration experiment?’. More information and booking instructions.
These courses and more run regularly in a scheduled programme but can also be customised and delivered at customer sites. Get in touch to discuss your training requirements. Email training@lgcgroup.com or phone +44 (0)20 8943 7631