Santa Clara University's Biomanufacturing Consortium for Analytics and Data engineering

Learn Python in Biomanufacturing Applications

Unleash your potential with Santa Clara University's BioCAD program, funded by a NIIMBL/NIST award. Discover the synergy between Python and biomanufacturing with our comprehensive curriculum, encompassing over 25 hours of immersive content--with more on the way!

Dive into bioreactor analysis and biomanufacturing-specific business operations and supply chain management with lectures backed by hands-on experiences and real-world coding examples.

Experience the power of Python in biotechnology through Santa Clara University's BioCAD program and shape a more successful future today!

Basic Python in Biomanufacturing

Our introductory courses will introduce you to the basics of Python code in the biotechnology context, regardless of your level of coding experience.

Bioreactor Analytics

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

Business Operations

Learn about biomanufacturing operations analytics, including time series forecasting and six sigma analysis.

Supply Chain Management

Learn about supply chains in biomanufacturing, including outsourcing, reverse logistics, and key performance indicators.

How to register for the program.

Go to the login menu by clicking "Log In" in the top right corner of the website.
Select "Create new account" and enter your information (name, email, username, password, affiliated organization, etc.).
Verify your account in your email and log in to the BioCAD site.
Select the Introduction to Python course and enter the course access code provided to you by your organization.
Start your program!

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

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Getting Started with BioCAD
How It Works:
Course Access: Each course requires a unique access code to enter. If your program includes the intermediate series courses, you must complete the required introductory courses before moving on to the intermediate courses.
Course Structure: Each course contains a mixture of lecture videos, short 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 first and/or follow along before a solution is provided.
Required Free Materials:
Python programs such as Google Colab or Python (version 3.0 or newer).
Google Colab can be accessed through your web browser using a Gmail/Google Suite account (no download required, but syntax may differ slightly from the actual Python program).
Python can be downloaded for your operating system using the links below:
Download for: Windows, Linux/UNIX, macOS, Other.
- If you have any questions or concerns, please send us an email at biocad@scu.edu and start the subject line with "Site Query: ".

Skip available courses

Available courses

Primer Series

Introduction to Python in Biomanufacturing

Prerequisite: None

Estimated time to complete: 6-7 hours

This course is meant to provide an introduction to the Python coding language and some of its commonly used libraries, focusing on applications in biomanufacturing and bioprocessing data analysis.

Intermediate Series

Analytics for Biomanufacturing Supply Chain Management

Prerequisite: Introduction to Python in Biomanufacturing

Estimated time to complete: 5-6 hours

This course focuses on key aspects of biomanufacturing supply chain management. You'll learn to calculate performance indicators, evaluate outsourcing, address cold chain logistics challenges, explore reverse logistics and closed-loop supply chains, and optimize inventory strategies.

Intermediate Series

Analytics for Biomanufacturing Operations Management

Prerequisite: Introduction to Python in Biomanufacturing

Estimated time to complete: 5-6 hours

In this course, you'll learn the importance of data analytics in biomanufacturing-specific business operations. You'll gain hands-on experience with Python libraries for time-series demand forecasting and explore Six Sigma data analytics for enhancing operational efficiency through biomanufacturing case studies.

Intermediate Series

Bioreactor Analytics and Optimization

Prerequisite: Introduction to Python in Biomanufacturing

Estimated time to complete: 6-7 hours

In this course, you'll work with diverse analytical techniques. Explore univariate analysis with t-tests and regression models linking cell growth to osmolarity. Dive into supervised and unsupervised machine learning, evaluating bioreactor performance, identifying critical parameters, and processing Raman spectra data to predict metabolites, using PCA analysis principles and multivariate analysis.

FAQ

If you need to contact our team for any reason, please send us an email at biocad@scu.edu with "Site Query: " in the subject line, followed by a brief summary of your message, and we will try to get back to you as soon as we can.

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 cohort/organization (if applicable) and enroll you in that course.

Learn Python in Biomanufacturing Applications

Basic Python in Biomanufacturing

Bioreactor Analytics

Business Operations

Supply Chain Management

How to register for the program.

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4

Getting Started with BioCAD

How It Works:

Required Free Materials:

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

Available courses

FAQ

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

How do I enroll in a course?