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.
Technical training that empowers students and entry-level engineers to use data analytics in optimizing biopharmaceutical manufacturing
Enhance your Python skills for data analysis and biopharmaceutical operations with modular training, tutorials, active learning, & industry insights
With over 25 hours of content and more coming, our program covers introductory to intermediate training in bioprocessing and supply analytics
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.
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.
Hear what others say about BioCAD, from university students and professors to professional partners across the United States!
The course was very comprehensive on a scientific and statistical level. This course [is] an excellent refresher for colleagues working specifically on chromatography, bioreactors, and flocculation.
[Great] introduction to the common code I will [use] day-to-day. The examples given were extremely thorough, even for those who aren't familiar with that particular field... [Now] I can look at someone else's code and recognize what they are trying to do.
Great overview of a coding language I haven't used in a while... I really enjoyed how complex topics (multivariate expression, discrete variables, etc.) were explained using real-world examples. It helped me contextualize and understand the topics and definitions.
I like that [the material] is made for non-programmers, and adapted to business. The content is interesting and well-explained.
[The Bioreactors course] is biologically relevant and the statistical methods are great.
I liked the self-paced [courses] and the 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 statistical concepts...