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

SKU: Biopharma 4.0-2-1 Category:

2,850.00

Dates:
  • 24/04/2023 - 26/04/2023

    7 Places Remaining

Fee:
€2850
Suitable 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

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