Kick start your career development with our free five-part online training programme on design of experiments, delivered by JMP
This is an archived page from a previous workshop on Design of Experiments
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.
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
Combines theory and practiceThe programme provides a solid theoretical understanding of design of experiments complemented by hands-on exercises using JMP’s statistical discovery software.
A supportive learning experienceLed by JMP’s experts, with multiple facilitators on hand to answer questions and provide real-time assistance. Everything will be explained and demonstrated, and then you’ll try it yourself using JMP’s popular statistical discovery software.
A powerful addition to your careerDemonstrate 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 as evidence of your new knowledge and skills.
Add value to your own workUsing 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 dataVisualising experimental data in new ways to uncover fresh insights and give real impact to your presentations and communications with key stakeholders.
Facilitator
Michael Anderson
CLSSBB and JMP Systems Engineer at SAS
Michael enjoys helping customers find hidden insights in data that result in quantifiable improvement. Before joining SAS, he worked in a variety of roles in high-tech manufacturing, encompassing measurement statistics, Lean Six Sigma, and cost and defect reduction. He holds a PhD in Materials Chemistry from the University of Oregon.
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