Phase 4 · Statistics for Analysts

Topics

Correlation vs Causation

Part of the Data Analyst Roadmap.

Summary

Two variables moving together doesn't mean one causes the other — a distinction that's easy to state and surprisingly easy to forget under stakeholder pressure for a clean story.

How to Learn This

  • 1Find (or recall) a classic spurious correlation example (ice cream sales and drownings).
  • 2Practice proposing 2-3 alternative explanations for a correlation you observe.
  • 3Learn what would actually be needed to establish causation (e.g. a controlled experiment).
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