Course Descriptor
A three-day course designed to build on the introductory course (Introduction to Data Analytics for Biopharma Manufacturing).
Course Delivery Method: Fully onsite.
Day 1
Morning: Reproducibility in data science: Infrastructure, documentation, and version control (Git) Linear and non-linear regression: Combining chemistry and bioprocess knowledge with statistical modelling, pitfalls of relying solely on single metrics Afternoon: Practical: Data analysis for stability testing and cell culture/purification
Day 2
Morning: Design of Experiments: Benefits of DoE over one-factor-at-a-time (OFAT) experiments, types of DoE designs, continued integration of process knowledge for DoE Afternoon: Practical: Designing an experiment for cell culture/purification
Day 3
Morning: Statistical Process Control (SPC): Control charts and process capability Afternoon: Practical: Trending of manufacturing and quality control data
Biopharma 4.0 – Advanced Data Analytics for Biopharma Manufacturing
€2,850.00
Dates:
- 28/06/2023 - 30/06/2023
5 Places Remaining
Fee:
€2850Suitable for:
For trainees with a good basic statistical knowledge, including process and quality control scientists.
Who should attend
For trainees with a good basic statistical knowledge, including process and quality control scientists.
Key topics covered
- Reproducibility in data science: Infrastructure, documentation, and version control (Git)
- Linear and non-linear regression: Combining chemistry and bioprocess knowledge with statistical modelling, pitfalls of relying solely on single metrics
- Data analysis for stability testing and cell culture/purification
- Design of Experiments: Benefits of DoE over one-factor-at-a-time (OFAT) experiments, types of DoE designs, continued integration of process knowledge for DoE
- Designing an experiment for cell culture/purification
- Statistical Process Control (SPC): Control charts and process capability
- Trending of manufacturing and quality control data
