A guided, project-based approach to exploratory data analysis and responsibly turning observations into hypotheses, including reproducible notebooks, validation steps, and reporting templates.
Checklist
Hypothesis Validation Checklist. Use this compact checklist to decide whether an exploratory finding is ready to inform decisions or needs further work. Reproducibility: Can a colleague run your saved code or query and recreate the view using the same dataset and instructions? Data freshness & lineage: Is the time...
A practical, step-by-step checklist to move from an exploratory observation to a validated insight that can support confident decisions. For each step the checklist describes what to check, example evidence to produce, and a minimal pass/fail criterion.
