This course teaches you the fundamentals of transforming clinical practice using predictive models. This course examines specific challenges and methods of clinical implementation, that clinical data scientists must be aware of when developing their predictive models.
This course is part of the Clinical Data Science Specialization
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About this Course
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Course 5 of 6 in the
Intermediate Level
Approx. 11 hours to complete
English
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessFlexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 5 of 6 in the
Intermediate Level
Approx. 11 hours to complete
English
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
1 hour to complete
Introduction: Clinical Prediction Models
1 hour to complete
8 videos (Total 27 min), 3 readings, 1 quiz
3 hours to complete
Tools: Ensuring Model Usability
3 hours to complete
9 videos (Total 46 min)
1 hour to complete
Techniques: Model Implementation and Sustainability
1 hour to complete
5 videos (Total 28 min)
2 hours to complete
Techniques: Data Selection, Model Building, and Evaluation
2 hours to complete
8 videos (Total 18 min), 2 readings, 2 quizzes
About the Clinical Data Science Specialization

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