Kick start your career development with our free five-part online training programme on design of experiments, delivered by JMP

Design of Experiments (DoE) is the most effective way to empirically learn about technologies when there are many variables or factors to consider. Despite this, school and degree science curricula rarely teach these methods. In this fun and engaging training programme you will be introduced to DoE and you will see how it has enabled scientists and engineers to develop better solutions, faster.

DoE can help you:

  • optimise a process to meet many targets (eg yield, impurity, material cost, cycle time) when there are many things you could change (eg pH, temperature, choice of solvent or base)
  • deliver more projects by maximising the return from your available resources
  • solve problems with manufacturing processes that should be routine but produce inconsistent results
  • provide insight into novel processes where textbooks and literature can’t provide answers

Your last chance to benefit from expert advice and get a certificate


If you missed a part and would like to watch the recording, hit ‘register now’ and enter your details – you will be taken straight to the video.

Register now

Programme benefits

The programme will provide you with a solid theoretical understanding of design of experiments complemented by hands-on exercises that will give you experience of using JMP’s statistical discovery software to support your learning.

A supportive learning experience

Led by JMP’s experts, with multiple facilitators on hand to answer questions and provide real-time assistance. Both the theory and practice of design of experiments will be explained and demonstrated, and then you’ll try it yourself using JMP’s popular statistical discovery software.

A powerful addition to your CV

Demonstrate a solid theoretical foundation in DoE as well as gaining valuable hands-on experience of using JMP’s statistical discovery software. Attend all five webinars to receive a certificate to include in your CPD record, which you can use as evidence to support your Chartered Chemist (CChem) application.

怎么说你r certificate

Add value to your own work

Using DoE will help you deliver results faster and more efficiently. By accelerating your R&D, and having the right tools to make critical resource decisions, you can save time and money, and get a much-needed edge in competitive markets.

Use and communicate data

Visualising experimental data in new ways to uncover fresh insights and give real impact to your presentations and communications with key stakeholders.



怎么说你r certificate

Day 1: Introduction to design of experiments

What is DoE? From example case studies you will see why this is such an important tool for scientist and engineers.

Show more

Day 2: Factorial experiments

Get started making and analysing the simplest experimental designs.

Show more


When there are lots of things you could change you need to maximise efficiency in finding the vital few factors.

Show more

Day 4: Response surface experiments

See how you can build a rich understanding of complex systems and processes.

Show more

Day 5: DoE guidelines and best practice

Tips and guidance to ensure your success in applying DOE in your work.

Show more


This programme includes hand-on exercises each day, which you can complete on your own computer using JMP’s statistical discovery software. You will need to download and activate a free trial of this software. Once activated this trial will last for 30 days. We recommend you download and activate your free trial two weeks prior to the start of the programme. You canget your free trial direct from JMP’s website.


A photograph of Phil Kay

Phil Kay

Source: JMP

Phil Kay, Learning Manager, JMP Global Technical Enablement

Phil was a key scientist in the development of numerous processes for the manufacture of colorants for digital printing at FujiFilm Imaging Colorants. Phil has a master’s degree and a PhD in chemistry, a master’s in applied statistics, and is a Chartered Chemist. Phil has found learning about the data-driven approach to experimentation to be hugely fulfilling. It has also been a big part of many of the best moments in his career, which is why he is passionate about sharing these methods with chemists and other scientists.