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Bioprocess development is increasingly data-rich, multidimensional and predictive. This training helps scientists use that data well – understanding where multivariate analysis, machine learning and hybrid models add value, and where they don't.
It is taught from the bioprocess side: biological and process understanding first, then the right analytical or AI tool.
Topics covered
- Bioprocess data: structure, quality and preparation
- Multivariate data analysis (MVDA) for process understanding
- Machine learning approaches for bioprocess questions
- Mechanistic and hybrid modelling
- Applications: media optimisation, predictive modelling, critical process relationships
- Designing smarter experiments with data
Who it's for
Bioprocess scientists and engineers who want to apply data science to their work, and data scientists new to bioprocessing.
Where Z2 helps
Content, depth and format are tailored to your team and agreed with you in advance. Programmes can be combined into a single course – see Bespoke Training.
