Approved training courses

Course description

Taught by statisticians and pharmaceutical industry professionals, our four-day course is designed to meet the needs of the aspiring Qualified Person (QP) and other pharmaceutical professionals. The highly participative training teaches you how to use statistical techniques to assess and monitor:

- The reliability and accuracy of data you generate
- The capability and reliability of the processes you work with every day

The pharmaceutical industry has historically underutilized the same statistical data analysis techniques many other industries have extensively used to drive product and process improvement. Even today, the pharmaceutical industry could still be characterized as data rich but information poor.

The provision of useful information is essential. That is why we created this pharmaceutical mathematics and statistics training course.

Recent developments in global Good Manufacturing Practice (GMP) guidelines are urging pharmaceuticals to catch up with other industries by placing greater emphasis on the trending of data. This applies to EU and U.S. requirements for ongoing process verification as part of process validation, product quality reviews, ICH Q10 and more. The ability to analyze and trend data is now an essential survival skill. This pharmaceutical training course shows you how to do this simply and effectively.

Key Learning Objectives
At the end of this course, you will understand how to:

- Assess the reliability and accuracy of data and information arising from samples taken from a population, using techniques such as:Basic statistics: mean, standard deviation, Histograms, Box plots, Confidence intervals
- Monitor and detect adverse trends before a process goes out of control, using: Control charts: Shewhart, mean and range, cumulative sum control chart (CUSUM) and attribute charts and Linear regression
- Assess the capability and reliability of a process
- Use and know the limitations of acceptance testing using ISO 2859 and ISO 3951
- Compare results using: T-tests, Analysis of variance (ANOVA)
- Interpret the interaction of process parameters via experimental design and multivariate analysis
- Maintain regulatory compliance

Pre-requisites

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

Additional info

Training will be delivered via a combination of an instructor-led virtual classroom and self-paced learning online. Full details will be sent to you following registration.

Teaching method

Online

Duration

4 day

Cost

£2800.00 GBP (plus VAT)

Training provider

NSF International

Email

qppharma@nsf.org

Tel

01751 432999

Find an approved training course

Use the options below to search through the growing list of chemical sciences training courses that have been approved by the Royal Society of Chemistry.


Blended Learning
Class/lab
In-house
Online