Our Course
A practical course designed for busy clinicians eager to learn about data
This free self-paced course is available on Google Classroom. The modules are
Foundations of medical data
Data wrangling
Data visualizations
The challenges associated with medical data
Basic statistics for the busy clinician
Foundations of clinical research (optional)
Orange Data Mining (optional)
There are videos throughout each module as well as an audio summary.
There is an interactive multimodal summary report created with Gemini Notebooks. There is also a Socratic tutor available that was created using a Google Gem.
There are optional assignments and 10 multiple-choice questions for each module. A certificate is available for those who complete the course. The class code is ezgiep2n
FAQs
Who are these courses for?
Designed specifically for clinicians eager to improve data skills and AI understanding.
How long is each course?
Basic Data Literacy should take 1-2 hours per module. Assignments and quizzes will add another 45 minutes per module.
Can I access courses on my schedule?
Yes, the course is self-paced, letting you learn when it fits your busy clinical routine.
Are there any prerequisites?
No prior data or AI experience is needed to start these courses.
How do I enroll in a course?
Simply click the course link on this page and follow the easy registration steps.
Get in Touch
Questions about our courses? Reach out anytime.
