Population Health Analytics
Analyzing health data across populations to identify trends, risk factors, and intervention opportunities using statistical and AI methods.
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Why It Matters
AI processes vast health datasets to stratify risk, but analysts who validate models, account for data bias, and translate findings into clinical workflows improve outcomes for entire patient populations.
How to Get Started
Learn SAS or R for health data analysis, complete the Johns Hopkins Data Science for Public Health specialization on Coursera, then practice with CMS public datasets.
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