
edXThis intermediate capstone inverts the training model: minimal scaffolding, real-world problem, your autonomy. You'll translate a research question into an analytical workflow, conduct rigorous data analysis, and deliver computational solutions—all while collaborating with peers in a hackathon-style format.
The result is a portfolio demonstrating independent mastery. It mirrors how data scientists actually work: taking ownership of ambiguous problems and delivering evidence-based answers.
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.
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