Advanced Data Analytics
Overview
A three-day course designed to build on the introductory course (Introduction to Data Analytics for Biopharma Manufacturing). This comprehensive programme is designed to equip participants with the advanced skills and knowledge required to excel in the field of data analytics within the biopharma manufacturing industry.
Throughout this course, participants will explore various essential topics, gaining a deeper understanding of data science and its applications in biopharma manufacturing. The course will be delivered fully onsite, providing an immersive and engaging learning experience.
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.
- 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.
- Statistical Process Control (SPC): Control charts and process capability
Who should attend
For trainees with a good basic statistical knowledge, including process and quality control scientists.
What do Attendees Obtain on Completion?
Attendees will receive lecture materials and a certificate of completion.
NIBRT Global Qualification (NGQ) – Optional
This course also offers the option to pursue a NIBRT Global Qualification (NGQ), an internationally recognised credential that formally acknowledges expertise in biopharmaceutical manufacturing. As an optional add-on, the NGQ is awarded by Atlantic Technological University, carries 5 ECTS credits, and is available for an additional fee of €500. It provides learners with a valuable opportunity to gain academic credit and enhance their professional development. More Information
Register
Course Format
Onsite Training at NIBRT
- 3 full days onsite training at NIBRT facility
Course on request – please contact Training@nibrt.ie
