Data · Beginner

SQL Analytics for Operations

Window functions, cohort views, and inventory KPIs from warehouse schemas.

6 weeks Online ₩820,000
SQL Analytics for Operations lab environment visualization

Overview

Query realistic star schemas derived from anonymized operational data—focused on metrics operations teams actually track.

Features

  • Complex joins without Cartesian surprises
  • Window functions for rolling stock levels
  • Cohort retention for subscription SKUs
  • Explain plans and index trade-offs
  • dbt-style layering introduction
  • Dashboard handoff to BI tools
  • Data quality assertions in SQL

Outcomes

  • Author twelve production-style queries
  • Document assumptions in a metrics dictionary
  • Present one executive KPI view

Reviews

"Rolling inventory query finally clicked with the window function lab."

— Jin , Analyst · Buk-gu Foods

FAQ

Database?

PostgreSQL 15 in Docker. Syntax notes for BigQuery provided as appendix.

Excel?

Export and import covered briefly; analysis stays in SQL.

Not included?

Machine learning model training is out of scope.