STEM / applied
R for data science · Undergraduate · Data science
Topics
Workflows
- renv or packrat for dependency lockfiles
- Style and lint (styler/lintr survey)
- Writing functions and avoiding copy-paste pipelines
- Parallel map over files (purrr intro)
- Connecting R to Python when required (reticulate survey)
- Version control for analysis projects
Applications
- Public health, business, or social-science case studies
- Shiny dashboard intro (optional)
- Survey weights awareness (intro)
- Missing-data reporting in papers
- Peer code review of tidy pipelines
- Capstone: Quarto analysis with tidyverse + model
Pricing calculator
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Estimates use 15-minute steps (15 minutes to 4 hours). The invoice is based on actual Zoom time (online) or actual session time (in-person), rounded to the nearest 15 minutes. No subscription required.
$60.00 · 60 min · Undergraduate · Online ($60/hr)
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