The original title is "Data Analysis SQL: Asking the right questions and using the right tools"

Short summary

Most SQL practitioners jump to code before understanding business requirements—a critical mistake. This tutorial teaches the professional approach: clarify specs (handle ties, edge cases, nulls), then select the right tool (DENSE_RANK for tier ranking, CTEs for auditable logic). Core lesson: write defensive SQL designed for real-world data messiness, not textbook scenarios.

• •Always clarify ambiguous requirements before coding—identify edge cases like salary ties, missing data, and null states
• •Use DENSE_RANK() for proper tier ranking and CTEs to structure complex queries for auditability
• •Write defensive SQL that anticipates real-world data complexity rather than assuming clean, textbook scenarios

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