This 3-day course will provide an introduction into the most important statistics and data exploration tools necessary to evaluate challenging bioprocess data sets. It will support participants 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.
This course will provide participants with the following skills:
- 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
This module is suitable for anyone who is keen to better understand their data, minimise repetitive visualisation and analysis tasks and learn the key fundamentals of data science. It will be of great benefit to scientists, engineers, project managers and anyone who currently analyses and visualises data in Excel.
Emphasis is on teaching through interactive problem solving case studies in small classes for effective learning. Each course is UCL-accredited and can be taken individually or combined for a Masters level qualification.
