Stanford University

Introduction to Clinical Data

This course is part of AI in Healthcare Specialization

Nigam Shah
Steven Bagley
David Magnus

Instructors: Nigam Shah

Sponsored by University of Michigan

24,722 already enrolled

Gain insight into a topic and learn the fundamentals.
4.7

(389 reviews)

Beginner level
No prior experience required
Flexible schedule
Approx. 11 hours
Learn at your own pace
97%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.7

(389 reviews)

Beginner level
No prior experience required
Flexible schedule
Approx. 11 hours
Learn at your own pace
97%
Most learners liked this course

What you'll learn

  • How to apply a framework for medical data mining

  • Ethical use of data in healthcare decisions

  • How to make use of data that may be inaccurate in systematic ways

  • What makes a good research question and how to construct a data mining workflow answer it

Skills you'll gain

Details to know

Shareable certificate

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Assessments

20 assignments

Taught in English

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Build your subject-matter expertise

This course is part of the AI in Healthcare 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
  • Earn a shareable career certificate
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There are 8 modules in this course

What's included

12 videos2 readings3 assignments

What's included

16 videos3 readings4 assignments1 plugin

What's included

12 videos2 readings3 assignments

What's included

18 videos2 readings3 assignments

What's included

19 videos4 readings3 assignments

What's included

11 videos3 readings3 assignments

What's included

7 videos2 readings

What's included

1 video3 readings1 assignment

Instructors

Instructor ratings
4.7 (118 ratings)
Nigam Shah
Stanford University
3 Courses68,678 learners
Steven Bagley
Stanford University
1 Course24,722 learners
David Magnus
Stanford University
1 Course24,722 learners

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Learner reviews

4.7

389 reviews

  • 5 stars

    74.03%

  • 4 stars

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  • 3 stars

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  • 2 stars

    1.02%

  • 1 star

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Showing 3 of 389

VS
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Reviewed on Oct 20, 2021

MC
5

Reviewed on Dec 10, 2020

WB
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Reviewed on Feb 20, 2023

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