Statistics for Analytical Scientists
About the course
Ensuring the quality of analytical data is a vital aspect of the work of an analytical scientist. The effective planning of experiments and evaluation of data requires an understanding of statistics. Knowledge of statistics is also needed to carry out method validation and evaluate measurement uncertainty. This 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?’ The course includes laptop-based workshops using Excel.
Online and Classroom based courses available, for more information and to book click here
Method Validation
About the course
Method validation is the process that provides evidence that a test method is capable of producing results that are suitable for a particular application. It is a requirement of the ISO/IEC 17025 and ISO 15189 laboratory accreditation standards and many other sectoral regulations and directives. This course introduces the statistics required for interpreting validation data and provides the tools to plan and carry out effective validation studies. There is ample opportunity to practice the principles learned through laptop-based workshops using Excel.
Online and Classroom based courses available, for more information and to book click here
Evaluating measurement uncertainty for chemical testing laboratories
About the course
Whenever a measurement is made there will always be some uncertainty about the result 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’. For example, when determining whether a limit has been exceeded, a meaningful interpretation of the results can only be achieved if the uncertainty is known. The evaluation of the uncertainty associated with measurement results is a requirement for testing laboratories accredited to ISO/IEC 17025. This course provides a practical approach to evaluating uncertainty in testing laboratories which is in line with the ISO principles for uncertainty estimation and current accreditation requirements. The course assumes no prior knowledge of uncertainty evaluation and includes laptop-based workshops using Excel.
Online based courses available, for more information and to book click here
Further statistical tools for analytical scientists
About the course
Modern analytical instruments are capable of producing a large amount of data. To interpret this data effectively requires the application of statistics. This course builds on the topics covered in the ‘Statistics for analytical scientists’ course and includes some more advanced statistical tools. It will allow analysts to address issues such as identifying outliers in a data set, handling non-normal distributions of data and carrying out weighted and non-linear regression. The course includes laptop-based workshops using Excel.
Online based courses available, for more information and to book click here
Introduction to statistics
About the course
This introductory online course will teach you the fundamentals of statistics for summarising and evaluating data generated in the laboratory. Designed for people with no or limited knowledge of statistics, this short course will build your confidence in handling data. The course focuses on applications of statistics in analytical laboratories, is highly interactive and includes opportunities to practice calculations using Excel. You will also receive 6 months free access to additional online training resources to allow you to reinforce the knowledge gained during the course.
This course is one of a series of introductory-level courses aimed at raising awareness and providing a basic understanding of key topics related to ensuring the quality of measurement data. The other courses in the series cover method validation and measurement uncertainty.
Online based courses available, for more information and to book click here
Introduction to method validation
About the course
Method validation is the process of demonstrating whether a test method is fit for a particular purpose. Ensuring that methods have undergone appropriate validation is an essential step that underpins the quality of measurement data. Designed for people with no or limited knowledge of method validation, this short course will provide you with an understanding of the what, why and how of method validation. The course is highly interactive and includes opportunities to practice calculations using Excel. You will also receive 6 months free access to additional online training resources to allow you to reinforce the knowledge gained during the course.
This course is one of a series of introductory-level courses aimed at raising awareness and providing a basic understanding of key topics related to ensuring the quality of measurement data. The other courses in the series cover statistics and measurement uncertainty.
Online based courses available, for more information and to book click here
Introduction to measurement uncertainty
About the course
Measurement uncertainty (the part of a result after the ±) provides a quantitative measure of the accuracy of a result. An uncertainty estimate provides information on whether data are ‘fit for purpose’ and also supports decisions made on the basis of measurement results. Designed for people with no or limited knowledge of measurement uncertainty, this short course covers the basics of uncertainty evaluation and will help you understand what uncertainty is and why it is important. The course is highly interactive and includes opportunities to practice calculations using Excel.
This course is one of a series of introductory-level courses aimed at raising awareness and providing a basic understanding of key topics related to ensuring the quality of measurement data. The other courses in the series cover statistics and method validation.
Online based courses available, for more information and to book click here
