STEM / applied
Intro data science · Undergraduate · Data science
Topics
Tooling practice
- pandas or tidyverse pipelines for weekly labs
- Version control for analysis projects (Git basics)
- Environment pinning (requirements.txt / renv survey)
- SQL for pulling analysis tables (intro)
- Dashboard or notebook presentation of results
- Capstone-lite: question → wrangle → model → write-up
Domain applications
- Public datasets (government, sports, or health open data)
- A/B test readout at introductory level
- Feature engineering for tabular problems
- Ethics checkpoint: privacy, consent, dual use
- Peer review of another student's analysis
- Connecting results to a stakeholder question
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$60.00 · 60 min · Undergraduate · Online ($60/hr)
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