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edX

Capstone: Health Data Science

University of Cambridge via edX

Overview

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In this capstone course, you will demonstrate your independence by applying the knowledge and skills acquired from the previous four courses to a real-world health data science challenge. Unlike earlier modules with structured guidance, this project provides minimal instructions, encouraging you to think critically and work autonomously. A hackathon style learning example will enable you to work closely with your peers throughout the journey. You will compile a portfolio showcasing your ability to translate research questions into analytical workflows, conduct rigorous data analysis, and develop computational solutions. This approach mirrors real-world health data science scenarios, preparing you to navigate complex challenges with confidence and expertise.

Taught by

Fatemeh Torabi, Emma English, Kenneth Langlands, Raquel Manzano Garcia, Iain Timmins, Lajos Kalmar, Alexia Sampri, Tom Monie, Angela Wood, Rachel Sippy, Raj Jena, Matt Castle, Detina Aferdita Zalli, Ali Al-Sherbaz and Kalman Winston

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