This course prepares you to deal with advanced clinical data science topics and techniques including temporal and research quality analysis.
Advanced Clinical Data Science
Advanced Clinical Data Science
This course is part of Clinical Data Science Specialization
Instructors: Michael G. Kahn, MD, PhD
Sponsored by Coursera Learning Team
3,171 already enrolled
Gain insight into a topic and learn the fundamentals.
4.8
(23 reviews)
Intermediate level
Some related experience required
4 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
3 assignments
Taught in English
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This course is part of the Clinical Data Science Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
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There are 4 modules in this course
Learn how to perform high quality and replicable clinical analyses.
What's included
9 videos3 readings1 assignment
Learn how to handle the impact of time on clinical data science analyses.
What's included
8 videos1 assignment
Learn how to handle missing data in clinical data science.
What's included
8 videos1 assignment
Prepare for the next step in your clinical data science journey by exploring potential career options!
What's included
6 videos
Instructors
Instructor ratings
4.5 (6 ratings)Offered by
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Learner reviews
4.8
23 reviews
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Showing 3 of 23
GB
5
Reviewed on Aug 21, 2021
Great skills learnt with a lot of hands-on practical experiences from this course.
JG
5
Reviewed on Jan 19, 2021
I took the whole specialization. And I've learned tons!
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