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Analysing and Trending Data

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The pharmaceutical industry has historically under-utilised statistical data analysis techniques that have been used extensively in many other industries to drive product and process improvement.

Dates: Tuesday 23 to Wednesday 24 September 2025
Venue:
Manchester Marriott Victoria and Albert Hotel, Manchester, UK
Cost:

£1470.00 excl. VAT or £1764.00 incl. VAT
(2nd delegate bookings from the same company and same site will receive a 20% discount on the course fee)

Type: Pharmaceutical

About this course

The pharmaceutical industry has historically under-utilised 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 characterise the pharmaceutical industry as being data rich but information poor.

Recent developments in the GMP Guidelines that provide regulatory expectations around the globe are now seeking to drive pharmaceuticals to catch up with other industries by placing far greater emphasis on the trending of data; eg EU GMP requirements for Product Quality Reviews, ICH Q10 and the US Guidance on Process Validation. The ability to analyse and trend data is now an essential survival skill and this pharmaceutical training course will show you how to do this simply and effectively.

Performing statistical calculations is now relatively simple with a variety of software packages being available to do the ‘number crunching’. However, it is essential that the underpinning assumptions for the statistical techniques are understood and complied with. In order to obtain maximum benefit from the use of these sophisticated statistical software tools it is also vital that the outputs are correctly interpreted.

This pharmaceutical training course will provide you with the essential understanding of several fundamental statistical tools for analysing data and enable you to understand what the output from these tools is telling you about your product or process. This, in turn, will give you powerful information that you can use to provide continuous trending and to drive quality improvement.

What You Will Learn

  • How to visualise data
  • The concept of statistical confidence
  • The basis for the common statistical process control tools; such as control charts, process capability and linear regression
  • How to use statistical software and interpret the outputs
  • Where these simple tools and techniques can be used to add value, eg in Product Quality Reviews, to provide continuous process verification, etc
  • Case studies from pioneers who are already using these tools to good effect

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NSF Health Sciences have offices in Kirkbymoorside and Sheffield, UK and Boston and Ann Arbor, USA

A word from NSF Health Sciences

If you do not find the course you are looking for please contact me at the NSF Health Sciences Kirkbymooorside Office

Bev Willett, Course Administrator, NSF Heath Sciences

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