• Getting Started with BioCAD

    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.


    Click HERE to Create an Account

    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).

    • 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

Course image Introduction to Python in Biomanufacturing
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.

Course image Analytics for Biomanufacturing Supply Chain Management
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.


Course image Analytics for Biomanufacturing Operations Management
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.
Course image Bioreactor Analytics and Optimization
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.