STEM / applied
Python for data science · Undergraduate · Data science
Topics
Engineering habits
- Type hints and readable function boundaries (intro)
- pytest for wrangling helpers
- Profiling slow pandas operations
- Chunked I/O for larger-than-memory CSVs (intro)
- Logging and configuration for scripts
- Packaging a small analysis utility
Projects
- End-to-end notebook → cleaned script refactor
- REST or file-based data acquisition
- Feature stores vs local feature tables (survey)
- Streamlit/Gradio demo of a simple model (optional)
- Collaboration via Git and code review
- Capstone: reproducible Python DS mini-project
Pricing calculator
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$60.00 · 60 min · Undergraduate · Online ($60/hr)
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