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Data Programming and Analytics for Applications in Biomanufacturing
Build your fluency in the use of Python for data analytics and programming in biomanufacturing unit operations. We offer mezzanine-level training, in the form of modularized asynchronous instructional tutorials, active-learning problems, and industry spotlights, encompassing over 25 hours of immersive content--with more on the way! Dive into primer, introductory, and intermediate training content in bioprocessing, operations, and supply chain analytics.
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Technical Training From Industry and Academia
Technical training that empowers students and entry-level engineers to use data analytics in optimizing biopharmaceutical manufacturing
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Python Skills Advancement
Enhance your Python skills for data analysis and biopharmaceutical operations with modular training, tutorials, active learning, & industry insights
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Continual Learning
With over 25 hours of content and more coming, our program covers introductory to intermediate training in bioprocessing and supply analytics
Frequently Asked Questions
Each course requires a unique access code.
Once you have created an account, select the course you want to take and enter the access code for that course. This will automatically add you to the group made for your organization (if applicable) and enroll you in that course.
There are no required materials for our courses, but we recommend you use either Google Colab or Python programs to follow along with Python practice problems within the courses.
Each course contains a mixture of lecture videos, quick informational check-in quizzes, and/or Python practice problems, with occasional supplementary material. For the videos that provide Python practice problems, you are encouraged to try to solve the problem on your own before a solution is provided.
Once you use an access code to enroll in a course, you will have 90 days (or 3 months) of access. That 90-day window won't start until you enter your access code. If you enroll in multiple courses simultaneously, you will still only have 3 months of access to each so keep that in mind if you intend to participate in multiple courses!
If you need to contact our team for any reason, please email us at biocad@scu.edu and we will try to get back to you as soon as possible.
Our Partners & Sponsors
NIIMBL
Biocom California Insitute
Genentech Foundation
Don't Just Take Our Word For It
Gain insights from a diverse group of university students, respected professors, and professional partners across the United States and beyond as they share their experiences and perspectives on the impact and value of the BioCAD program.
Scientifically & Statistically Comprehensive
The course was very comprehensive on a scientific and statistical level. [An] excellent refresher for colleagues working specifically on chromatography, bioreactors, and flocculation.
Great Introduction to Everyday Python
[Great] introduction to the common code I will [use] day-to-day. The examples were extremely thorough, even for those unfamiliar with the field... [Now] I can look at someone else's code and recognize what they're trying to do.
Clear Overview & Explanations
Great overview of a coding language I haven't used in a while... I loved how complex topics (multivariate expression, discrete variables, etc.) were explained using real-world examples - it helped contextualize the concepts.
Good for Non-Programmers
I like that [the material] is made for non-programmers, and adapted to business. The content is interesting and well-explained.
Biologically Relevant & Interesting
[The Bioreactors Analytics course] is biologically relevant and the statistical methods are great.
Good Pacing & Practice Problem
I enjoyed the self-paced [courses] and examples which allowed me to actually test the program [in Python] and compare answers. . . The videos had so much interesting and relevant information about [Python] and statistics.