Data Analytics, Machine Learning and AI for Biomanufacturing
UCL East Campus, Stratford
16 - 18 February 2026
£1,750
Learn data analytic tools supported by multivariate data analysis (MVDA) and machine learning (ML) expertise to better leverage useful and actionable information from complex bioprocessing data sets.
The course will provide an introduction into the most important statistics and data exploration tools necessary to evaluate challenging bioprocess data sets. In addition, it will support the user to navigate which MVDA or ML algorithm should be implemented to better understand the cause and effect relationships within their data and how to apply these tools to generate predictions of key process parameters. The aim of the course is provide all attendees with the necessary skill set to better leverage useful and actionable information from complicated bioprocessing data sets.
Learning Outcomes:
This course will provide delegates with the following skillset:
Practical data analytic tools in Python: Learn the basics of Python by analysing real-world data sets
Multivariate data analysis (MVDA) and Machine learning (ML) expertise: Build and validate advanced process models on challenging bioprocessing data sets
“Big Data” analytics: How to deal with large manufacturing data sets and automate the model building process
Bioprocessing expertise and knowledge: Learn the most important statistics and data exploration tools necessary to interpret challenging biologic data sets
Who should attend?
Anyone who is keen to better understand their data, minimise repetitive visualisation and analysis tasks and learn the key fundamentals of data science. The course will be of great benefit to:
Scientists
Engineers
Project managers
Anyone who currently analyses and visualises their data in Excel.