Pilot Special Offer to Learn Python in Biomanufacturing Applications

Loading Events

Oregon Bio Members can learn the basics of Python and it’s application to perform data analysis in biomanufacturing and other biotechnological topics such as bioreactor analysis, business operations, and supply chain management. This limited pilot offer provides access to 30+ hours of Python coursework at a 90% discount.

Oregon Bio, in partnership with Genentech, Pfizer, Santa Clara University’s Bioengineering Department, Keck Graduate Institute and others developed this program with funding by the National Institute for Innovation in Manufacturing Biopharmaceuticals (NIIMBL). The result is virtual boot camps for contemporary data engineering and analytics approaches for biomanufacturing and bioprocessing in support of digital transformation in bioprocessing and manufacturing.

All participants are required to complete the Introduction to Python series (6 hours in length), and have the opportunity to participate in additional modular courses on topics including Bioreactor Analytics and Optimization, Biomanufacturing Supply Chain, and Biomanufacturing Operations Management. Courses include short example problems selected from upstream and downstream unit processes in bioengineering. Participants will earn a “Proof of Completion” certificate for the courses they complete.

Program Cost: $168 – To register select number of tickets and press get tickets button to the right.

Who Should Apply: Industry professionals seeking an introduction to Python and/or biomanufacturing data analytics.

When: Students have through June to complete the six hour module.

Modality: Virtual

Time Commitment: 6 hours of self-paced curriculum with modular course options allowing for up 30+ hours of total content

Certificate: Proof of Completion certificate granted upon course and feedback form completion

Program Summary/Components:

    • Learn how to apply Python to biopharmaceutical manufacturing, operations, and supply chain contexts via 30+ hours of self-paced virtual modules
    • Curriculum inudes virtual lectures, quizzes, Python practice problems, and more