
This course introduces doctors to the fundamentals of machine learning in healthcare through a hands-on, no-code approach. Using Orange Data Mining, participants will learn how clinical data can be explored, visualized, and analyzed—without any programming background.
The course is designed as a practical orientation to clinical AI, focusing on understanding concepts through real demonstrations rather than theory.
What you will learn in this course:
How machine learning is applied in healthcare and medical research
Basics of working with clinical datasets using Orange Data Mining (no coding required)
A step-by-step walkthrough of one complete practical example
How to interpret model outputs and results from a clinician’s perspective
Common limitations and considerations when using ML in healthcare
This free course is meant to build foundational understanding and confidence.
For doctors who wish to explore multiple use cases, advanced workflows, deeper interpretation, and hands-on practice with additional clinical datasets, an in-depth paid course is available as a natural next step.
Enrolled by
Choose from a list of project topics or create your own project idea that incorporates all skills learned (e.g., a mini-banking system, personal expense tracker, or inventory manager).
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by
Dr. Atul Tiwari

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