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Top ten principles for doing data science projects.
- Format:
- Video
- Series:
- Sage research methods.
- Language:
- English
- Subjects (All):
- Social sciences--Research.
- Social sciences.
- Social sciences--Data processing.
- Database management.
- Computer software--Development.
- Computer software.
- Data mining--Computer programs.
- Data mining.
- Physical Description:
- 1 online resource (1 video file (00:13:49)) : sound, colour
- Other Title:
- Top 10 principles for doing data science projects
- Place of Publication:
- London : SAGE Publications Ltd, 2019.
- Language Note:
- Closed-captions in English.
- Summary:
- 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.
- Participant:
- Academic, Soubhik Barari.
- Notes:
- Description based on XML content.
- ISBN:
- 9781526492432 (streaming video) :
- OCLC:
- 1091241087
- Access Restriction:
- Restricted for use by site license.
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