Approved training courses

Course description

Designed to meet the needs of the aspiring Qualified Person and other pharmaceutical professionals and taught by a combination of statisticians and pharmaceutical industry professionals, this highly participative 4 day course will teach you how to use statistical techniques to assess and monitor the reliability and accuracy of data you generate and the capability and reliability of the processes you work with.
A statistics course like no other!

The pharmaceutical industry has historically underutilized statistical data analysis techniques that have been used extensively in many other industries to drive product and process improvement. It is still too often true to characterize the pharmaceutical industry as being data rich but information poor.

The provision of useful information is essential to the Qualified Person and other professionals in helping them to:
• Understand the reliability and accuracy of data and information arising from samples taken from a population
• Monitor and detect adverse trends before a process goes out of control
• Assess the capability and reliability of a process
• Understand the interaction of process parameters via experimental design
• Maintain regulatory compliance

COURSE OUTLINE

Basic Statistical Quantities
• Terminology and definitions
• Measures and visual plots to describe populations and samples
• Deciding how much data to collect to enable appropriate decision making to occur

Statistical Techniques
• Data visualisation tools:
• Confidence intervals
• Statistical Process Control (SPC) tools:
• ISO 2859 – Specification for sampling procedures and tables, application of sampling by attributes
• Regression analysis
• Statistical testing:
• Experimental design, eg Taguchi
• Multi-variate analysis

Practical Application of Statistical Techniques
• Practical examples of the application of statistical techniques using teamwork sessions
• Experience of the application of statistical techniques in a QA system within a manufacturing environment
• The role of computers in the application of statistical techniques
• Six Sigma: What is it and what are its benefits?

Pre-requisites

Please speak to Aimee Harding, QP Administrator at NSF, about entry requirements for both QP training and/or postgraduate qualifications.

Additional info

Lunches and refreshments are included in the course fee plus a special 'course dinner' on the penultimate evening. Specially negotiated B&B rates are available. For further information please contact Aimmee Harding, QP Administrator at NSF.

Venue

Jurys Inn

Teaching method

Class/lab

City

Brighton

Duration

4 day

Cost

£2960.00 GBP (plus VAT)

Training provider

NSF International

Email

qppharma@nsf.org

Tel

01751432999

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Class/lab
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