Join us for this two day workshop on 19 and 21 March to learn the techniques essential for transforming data into insights

Join us for an introductory two-day workshop designed to equip scientists and engineers with fundamental predictive modelling techniques. In the current landscape in which data is abundant, these techniques are essential for transforming data into insights. This event will guide you through the basics of predictive modelling, helping to drive innovation and process improvement. By participating in both sessions, you will gain valuable insights into predictive modelling and functional data analysis, culminating in a certificate from the Royal Society of Chemistry.

Register now to secure your place

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Programme benefits

This two-part workshop has been designed for scientists and engineers who want to make the most of the data they have available. Follow along in your own time with JMP’s Statistical Discovery Software  and give your learning a valuable boost.

Support when and where you need it

JMP experts know data analysis and have years of experience putting these techniques into practice. During the workshop, the JMP team provide real-time assistance to attendees, giving answers to the most popular questions. You’ll see the theory in the workshop – then it’s up to you to test it out.

Give your CV something to shout about!

Nothing beats hands-on experience, and you’ll get plenty of that in this course, where you’ll learn from a number of case studies, chosen for their effectiveness at communicating the grounding principles and fine details. By attending both sessions, or watching them on-demand after the live broadcast, you’ll be eligible for a certificate.

How to claim your certificate

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Day 1: Faster predictive modelling

Build better and more useful models with modern predictive modelling techniques, such as regression, neural networks, and decision trees.

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Day 2: Understanding and analysing functional data

The concept of 'functional' data can be hard to grasp, but understanding and using functional data opens a wide range of possibilities.

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Meet your JMP experts

Marco Salfi

Marco Salfi from JMP

Marco Salfi joined JMP as a Senior Systems Engineer after spending many years in the oil and gas industry. He has held various roles with ExxonMobil in Italy, Belgium, and the United States, with a primary focus on manufacturing and supply chain. Throughout his career, Marco has always prioritised making data-driven decisions. He holds a master’s degree in energy engineering from Politecnico di Milano, Italy.


Owen Jonathan

Portrait of Owen Jonathan, JMP

Owen Jonathan is an Associate Systems Engineer at JMP. His role involves identifying critical business issues of UK customers and guiding them in adopting data-driven solutions within their organisations. Prior to joining JMP, Owen obtained a master’s degree in systems and synthetic biology from Imperial College London. He first joined JMP as an intern, where he identified DOE applications in the field of biotechnology and delivered DOE workshops with relevant case studies to synthetic biologists.