12th Advanced Process Data Analytics Course (Virtual)
6 - 8 and 13 - 15 November, 2023
Virtual Event: 6 half - days
Join us over 6 half-days and learn from DataHow's leadership team who are leading innovators in model-based bioprocess development.
Course Motivation:
The aim of this course is to provide an overview and advanced insight into data analytics and modeling methodologies for process data. Fundamental concepts to visualize high-dimensional and highly correlated process and product quality data, to identify the important process drivers as well as to forecast the process and product quality behaviour will be presented in lectures. Hands-on and brainstorming sessions will be used to solve case studies from the (biopharmaceutical) industry. After the course the participants will be aware of relevant techniques and literature for process data analysis and will be able to evaluate different analysis paths for a given problem.
Who should attend?
The target group of the course encompasses scientists and engineers from academia and industry who encounter or are working with (bio)process data.
The course shall motivate to utilize the presented techniques in ongoing and perspective projects. Previous experience in data analysis can be advantageous but is not mandatory.
What is the format?
The course will be offered as interactive presentation through Microsoft Teams. Group activities will be handled in small virtual rooms. The provided software from DataHow as well as the opensource packages can be used during and after the course.
Despite the limitations of such teaching format, it is our clear intention to deliver the content in similar comprehensibility to an in-person event and allow for many questions and discussion content.
What are the fees?
The participation fee is CHF 2’950.00/person from industry, CHF 1’750.00/person from academia, CHF 700.00/person for students.
The fee includes lecture and case study summaries in electronic formats as well as the cost of all communication platforms and software packages used in the course.
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