About this Course

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Coursera Labs
Includes hands on learning projects.
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Beginner Level
Approx. 11 hours to complete
English

What you will 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

Flexible 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.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Beginner Level
Approx. 11 hours to complete
English

Offered by

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Stanford University

Syllabus - What you will learn from this course

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Week1
Week 1
1 hour to complete

Asking and answering questions via clinical data mining

1 hour to complete
12 videos (Total 19 min), 2 readings, 3 quizzes
Week2
Week 2
2 hours to complete

Data available from Healthcare systems

2 hours to complete
16 videos (Total 32 min), 3 readings, 4 quizzes
Week3
Week 3
1 hour to complete

Representing time, and timing of events, for clinical data mining

1 hour to complete
12 videos (Total 20 min), 2 readings, 3 quizzes
Week4
Week 4
2 hours to complete

Creating analysis ready datasets from patient timelines

2 hours to complete
18 videos (Total 33 min), 2 readings, 3 quizzes

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About the AI in Healthcare Specialization

AI in Healthcare

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