Standard syllabus
Data wrangling & visualization · Undergraduate · Data science
Topics
Wrangling craft
- Profiling raw files: types, encodings, and delimiters
- Schema design for analysis tables
- Deduplication, entity resolution (intro), and keys
- Outliers: detect, document, decide
- Feature construction from timestamps and categories
- Building reusable transformation checklists
Visualization design
- Choosing chart types for audience and data type
- Encoding channels: position, color, size, shape
- Small multiples vs overplotting strategies
- Uncertainty visualization (error bars, intervals survey)
- Annotation and narrative layout
- Accessibility: contrast, alt text, and colorblind-safe palettes
Quality and reproducibility
- Validation rules and assertion tests on tables
- Data dictionaries and column documentation
- Lineage: raw → cleaned → analysis extracts
- Diffing data versions between runs
- Reviewing plots for misleading scales
- Hand-off packages for collaborators
Pricing calculator
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$60.00 · 60 min · Undergraduate · Online ($60/hr)
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