This course introduces you to a framework for successful and ethical medical data mining. We will explore the variety of clinical data collected during the delivery of healthcare. You will learn to construct analysis-ready datasets and apply computational procedures to answer clinical questions. We will also explore issues of fairness and bias that may arise when we leverage healthcare data to make decisions about patient care.
Introduction to Clinical Data
Introduction to Clinical Data
This course is part of AI in Healthcare Specialization
Instructors: Nigam Shah
Sponsored by State University of New York
24,038 already enrolled
Gain insight into a topic and learn the fundamentals.
4.7
(372 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
Add to your LinkedIn profile
Assessments
20 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
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
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
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 (114 ratings)Offered by
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Learner reviews
Showing 3 of 372
4.7
372 reviews
- 5 stars
74.13%
- 4 stars
20%
- 3 stars
4.26%
- 2 stars
1.06%
- 1 star
0.53%
Recommended if you're interested in Data Science
Northeastern University
University of Michigan
University of Copenhagen
University of Copenhagen
Open new doors with Coursera Plus
Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy