Certificate Programs
Applied Data Science & Observational Research Skills
Apply skills in data science & observational and learn alongside your peers with:
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six lectures in data science & observational research
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six live, hands-on study groups led by faculty group facilitators
Scholars who register for this 2-credit course will also be enrolled in Fundamentals of Healthcare Data & Clinical Implementation Science concurrently, earning a total of 3 graduate credits. This course is suitable for individuals with an MD, PhD, or equivalent degree. Senior research managers with master’s degrees may be accepted on a case-by-case basis, please inquire for more information if you are in this category.
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Total cost: $2,500
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Duration: 3 months (September 14 - December 11, 2026)
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Commitment: 10 hours/week
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Credits: 3 credits
By the end of this course, you will apply advanced knowledge in data science & observational research to translate your idea into a refined research question and specific aims.
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Applied Data Science and Observational Research Skills topics:
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Identifying a good research question
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Writing specific aims
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Introduction to healthcare delivery science using observational data
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Observational study designs and threats to validity
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Prediction, simulation modeling, and cost-effectiveness overview
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Matching analytic methods to research questions and data​​
Title | Research Fundamentals | Applied Research Skills |
|---|---|---|
Asynchronous video lectures from experts | ||
Engaging online learning activities | ||
Certificate for credit | ||
Select a concentration in data science or clinical implementation research | ||
Live study groups with Harvard Medical School faculty for hands-on learning | ||
Translate your idea into a refined research question and specific aims |