Join us for this two part workshop and learn the techniques essential for transforming data into insights
Join us for an introductory two-part 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.
Watch the workshop on demand
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.
Certificates are available for attending both parts of the ‘Making better data-based decisions with statistical modelling techniques’ programme.
Eligibility
Certificates are available to those who either attended the programme live or watched it on-demand after the broadcast date.
The Chemistry World team will check that the below conditions have been met prior to issuing a certificate to you.
- You must have personally registered for both parts of the programme. You cannot have someone else register on your behalf, nor attend or watch the webinars using someone else’s account.
- You must have either attended live or watched on-demand both parts of the programme in their entirety by the closing date of 26 April 2024.
How to claim
- If you attended the programme live then certificates will be automatically issued to the email address you provided at registration within one week of broadcast. You need take no further action.
- If you view both parts on-demand – after the initial broadcast date – you will receive your certificate within one calendar week of completion. You must watch both parts before the closing date, as claims made after this date will not be honoured.
Please note that your certificate will show your first and last names exactly as you provided at registration. No changes can be made.
Register now
Part 1: Faster predictive modelling
Build better and more useful models with modern predictive modelling techniques, such as regression, neural networks, and decision trees.
Show morePart 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.
Show moreMeet your JMP experts
Marco Salfi
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
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.
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