Aggregations & Grouping in SQL: The Queries Behind Every Dashboard and Report | Part 3

📰 Medium · Data Science

Master SQL aggregations and grouping to power dashboards and reports with practical PostgreSQL queries

intermediate Published 13 May 2026
Action Steps
  1. Build a PostgreSQL database to practice aggregation queries
  2. Run SQL queries using GROUP BY and HAVING clauses
  3. Configure aggregate functions like SUM, AVG, and COUNT
  4. Test grouping sets and rollup functions
  5. Apply window functions for advanced aggregations
Who Needs to Know This

Data scientists and analysts can improve their reporting capabilities, while software engineers can enhance their database querying skills

Key Insight

💡 Mastering SQL aggregations and grouping is crucial for building informative dashboards and reports

Share This
Boost your SQL skills with aggregations & grouping!
Read full article → ← Back to Reads