Stanford University

Introduction to Clinical Data

This course is part of AI in Healthcare Specialization

Taught in English

Some content may not be translated

Nigam Shah
Steven Bagley
David Magnus

Instructors: Nigam Shah

19,689 already enrolled

Course

Gain insight into a topic and learn the fundamentals

4.7

(296 reviews)

|

97%

Beginner level
No prior experience required
11 hours (approximately)
Flexible schedule
Learn at your own pace

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

Details to know

Shareable certificate

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Assessments

20 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.7

(296 reviews)

|

97%

Beginner level
No prior experience required
11 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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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
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There are 8 modules in this course

What's included

12 videos2 readings3 quizzes

What's included

16 videos3 readings4 quizzes1 plugin

What's included

12 videos2 readings3 quizzes

What's included

18 videos2 readings3 quizzes

What's included

19 videos4 readings3 quizzes

What's included

11 videos3 readings3 quizzes

What's included

7 videos2 readings

What's included

1 video3 readings1 quiz

Instructors

Instructor ratings
4.7 (100 ratings)
Nigam Shah
Stanford University
3 Courses54,841 learners
Steven Bagley
Stanford University
1 Course19,689 learners
David Magnus
Stanford University
1 Course19,689 learners

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4.7

296 reviews

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Reviewed on Dec 31, 2021

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