MITx: Collaborative Data Science for Healthcare
Data and learning should be at the front and center of healthcare delivery. In this course, we bring together computer scientists, health providers and social scientists collaborating to improve population health by analyzing and mining data routinely collected in the process of patient care.
![Collaborative Data Science for Healthcare](https://prod-discovery.edx-cdn.org/cdn-cgi/image/width=378,height=auto,quality=85,format=webp/media/course/image/be6f00d4-5047-459e-8249-954e2526f68a-0151844359f8.jpeg)
12 weeks
2–3 hours per week
Self-paced
Progress at your own speed
Free
Optional upgrade available
There is one session available:
16,038 already enrolled! After a course session ends, it will be archivedOpens in a new tab.
Starts Aug 30
Collaborative Data Science for Healthcare
At a glance
- Institution: MITx
- Subject: Data Analysis & Statistics
- Level: Advanced
- Prerequisites:
Experience with R, Python and/or SQL is required unless the course is taken with computer scientists in the team.
- Language: English
- Video Transcript: English
- Associated skills:Digital Data, Blood Sugar, Population Health, Clinical Trials, Diabetes Mellitus, Research, Blood Pressure, Algorithms, Electronic Medical Record, Data Science, Medical Research
Who can take this course?
Unfortunately, learners residing in one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. edX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.Interested in this course for your business or team?
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