Smarter experimentation for scientists and engineers
Kick start your career development with our free five-day 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 chemists to develop better solutions, faster.
Register to watch on-demand
This highly successful programme is now available to watch on-demand. Find out more and register to watch each day of the programme.
Academic programme
Teach, learn and research
JMP connects professors, students and academic researchers with the right resources to build the analytical skills they need to succeed in today’s data-driven world.
Statistical thinking for industrial problem solving
Free online course
With seven modules, this course is free to anyone interested in using data to solve problems better. Each module takes 2-3 hours of learning. Learners get access to JMP Pro in the cloud. Certification available.
Time to innovate
Industry-led insight
Explore this series of free resources, including webinars, reports, case studies, and more. Learn how successful companies applied statistical methods to accelerate innovation, reduce time to market and drive down costs.
Webinars
Watch a range of free webinars developed by the experts at JMP to help improve your knowledge of design of experiments. You may need to register first.
Workshop: Your guide to solving complex problems by mastering Design of Experiments
Building organisational consensus around the tools of digital chemistry
Workshop: Getting started with Design of Experiments
Nobel prize in chemistry: reactions
Make better data-based decisions with statistical modelling techniques
Applications of modern Design of Experiments (DoE)
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Articles
Benefit from the insight and experience of leading thinkers in design of experiments.
Digitalisation is the future of science, just ask a biologist
Biology has some life lessons for chemistry
You don’t need coding to be a chemist
Writing your own software can be useful, but what matters is knowing how to use it
Speeding up your innovation cycle
Work smarter by leaving behind traditional trial and error methods and adopting design of experiments
Innovating in complex environments
The benefits of digital tools and automation with no programming required
The race for a sporting breakthrough
Good methods and process understanding are key to overcoming the challenges of designing high performance sportswear materials