Overview
- Overview
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A course covering the data-science workflow from collection to analysis, with hands-on emphasis on data engineering, cleaning, curation, and wrangling.
- Audience
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This course was first designed for undergraduate and graduate social-science majors. The materials are generally applicable to students of any level and degree program.
Content
Course Content
The explosion of digital data represents an unprecedented opportunity for social research. Fully leveraging that opportunity requires downstream analytical skills such as visualization and modeling, as well as upstream skills in data collection, cleaning, curation, and wrangling. The course covers coding basics and research design; data collection; data wrangling and curation; data cleaning; visualization; analysis; and presentation of findings.
Requirements
No prerequisites and no prior coding experience are required.
Resources
- Materials
- Relevant Literature
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Browse references and supporting literature for this training module in the Organization of Power Lab Zotero library.
Open this training module's Zotero collection