Top ten principles for doing data science projects

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Soubhik Barari, PhD student in Political Science at Harvard University, outlines ten data science principles to ensure successful social science research: focus on the big picture, know your data, ...

Soubhik Barari, PhD student in Political Science at Harvard University, outlines ten data science principles to ensure successful social science research: focus on the big picture, know your data, build reusable and flexible tools, structure your project directory, prioritize reproducible code, use version control, name the files and folders, ownership of project components, sources of bias, and creation of painless code.

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