Data Analysis Seminar: Enhancing Decision-Making Skills through Statistical Modeling Techniques

The Royal Society of Chemistry is hosting a two-part workshop focused on Faster Predictive Modelling and Understanding and Analyzing Functional Data. This event, designed for scientists and engineers, offers practical applications of predictive models in real-world scenarios.

Part 1: Faster Predictive Modelling

The first part of the workshop delves into the world of predictive modelling, distinguishing it from statistical inference, and setting the goals and data types involved. Topics covered include regression, neural networks, and decision trees. A case study and tools for predictive modelling will be explored, showcasing JMP's capabilities in model screening and data cleaning.

Owen Jonathan, an Associate Systems Engineer at JMP with a master's degree in systems and synthetic biology, will be a key figure in this part, providing insights and guidance.

Honest Assessment in Modelling

The first part also addresses the crucial aspect of honest assessment in modelling. This discussion covers bias and variance in predictions, managing model complexity and fit, and ensuring the models are not only accurate but also reliable.

Real-Time Assistance and Case Studies

Throughout the workshop, JMP experts, including Owen Jonathan and Marco Salfi, will be on hand to provide real-time assistance. The event also features case studies for hands-on learning, allowing participants to apply the concepts they've learned.

Part 2: Understanding and Analyzing Functional Data

The second part of the workshop focuses on functional data analysis techniques. This part will explore functional models to extract shape components, employ ordinary statistical models for analysing shape components. The discussion will also cover modelling techniques for functional data, such as basis function expansion, wavelet models, and piecewise regression in functional data analysis.

Marco Salfi, a Senior Systems Engineer at JMP with a background in the oil and gas industry and a master's degree in energy engineering, will lead the discussions in the second part.

Exploring Functional Data

The second part will also delve into understanding functional data, differentiating it from time series data. Participants will learn how to explore and model functional data effectively.

Registration and Certification

Registration is required for both parts of the workshop, with personal attendance or on-demand viewing to be completed by December 1, 2024, to be eligible for a certificate. Participants who complete both sessions will receive a certificate.

This workshop promises to be an invaluable resource for anyone looking to transform data into insights. Don't miss this opportunity to learn from experts and enhance your predictive modelling skills.