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This online course consists of 3 modules as described and illustrated below.
400: Data Acquisition (1.5 hours)
Module 400
The learning objectives of this module are that you will be able to:
510: Computer system validation (1 hour)
Module: 410
This module aims to introduce you to data visualization by helping you:
The learning objectives of this module are that you will be able to:
520: Equipment considerations for data integrity (1 hour)
Module: 420
This module aims to give you an introduction to data analytics and how to DISCOVER, PREDICT, and PRESENT insights using data analytics tool. Some of the questions that will be asked during this module include:
WHAT ONE OF OF OUR DEVELOPMENT PARTNERS SAYS ABOUT THIS COURSE
“Collaboration between academics and industry subject matter experts in the Life Sciences led to the design of this course, which introduces students to digital technology concepts in a biomanufacturing setting. In this course, we cover topics including the initial collection and storage of biomanufacturing process data and its subsequent analysis and transformation into valuable information that is actionable and used to make process and business decisions. The purpose of this course is to provide students with knowledge and experience, so that they are familiar with the various functions and tools related to data collection and data utilization, which they will encounter in a modern biomanufacturing facility.”
- Ryan Barton, Automation/Data Scientist at NCSU BTEC