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SCU BioCAD


  • Train to use data analytics in biopharma manufacturing.
  • Improve Python skills for data analysis and biopharma operations.
  • 25+ hours of training in bioprocessing and supply analytics.
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Our Courses

Introductory Learning Modules

Start your introduction to biomanufacturing, statistical analysis, and Python programming, regardless of your coding experience.

Applications of Python in Biomanufacturing

Improve your Python skills through applied problems in bioreactor, chromatography, and flocculation analytics.

Bioreactor Analytics and Optimization

Learn how to use Python with basic machine learning principles, and univariate and multivariate analysis for bioreactor data.

Biomanufacturing Operations Management

Learn how to use time series forecasting and six-sigma for biomanufacturing operations analysis.

Biomanufacturing Supply Chain Management

Learn about biomanufacturing supply chains, including outsourcing, reverse logistics, and KPIs.

Featured Videos

Data Science at Seagen

Driving Innovation for Patients

Data Analytics in the Biotech Industry Driving Success Across Business Units

Part 1/4

Data Analytics in the Biotech Industry Driving Success Across Business Units

Part 2/4

Data Analytics in the Biotech Industry Driving Success Across Business Units

Part 3/4

Data Analytics in the Biotech Industry Driving Success Across Business Units

Part 4/4

Data Analytics: An Imperative Driving Industry Success in Biomanufacturing

Part 1/3

Data Analytics: An Imperative Driving Industry Success in Biomanufacturing

Part 2/3

Data Analytics: An Imperative Driving Industry Success in Biomanufacturing

Part 3/3

Complementary Resources

Google Colab

Google Colab can be accessed through your web browser using a Google Suite account.

Python

Python can be downloaded for your operating system, whether you use Windows, macOS, or Linux/UNIX.

Introduction to Biomanufacturing (Textbook)

An online textbook with more information on various biomanufacturing topics.

Email

If you have any questions or concerns, please email us at biocad@scu.edu and start your subject line with "Site Query: ".

LinkedIn

Follow our program on LinkedIn to see recent project updates and partner events!

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Data Programming and Analytics for Applications in Biomanufacturing

Build your fluency in using 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 30 hours of immersive content--with more on the way!  Dive into introductory and intermediate training content in bioprocessing, operations, and supply chain analytics utilizing datasets from literature, academic lab tests, and real-world industry partners cases​.

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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 30 hours of content and more coming, our program covers introductory to intermediate training in bioprocessing and supply analytics

Frequently Asked Questions

How do I enroll in a course?

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.



Are there any required materials?

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.

How are the courses structured?

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.

How long do I get access to each course?

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 I have a question/comment, who do I contact?

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

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NIIMBL

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Biocom California Insitute

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Genentech Foundation

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Merck

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.

Industry Partner
San Francisco, US
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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.

Life Science Organization Partner
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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.

Student
San Jose, US
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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.

Industry Partner
Europe
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Biologically Relevant & Interesting

[The Bioreactors Analytics course] is biologically relevant and the statistical methods are great. 

Life Science Organization Partner
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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.

Life Science Organization Partner
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Santa Clara University's Biomanufacturing Consortium for Analytics and Data engineering


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