Advanced SQL for Data Analysis 🗄️✨
Today I explored Advanced SQL concepts that go beyond basic SELECTs and JOINs — the real power tools for analysts!
🔹 Key Concepts I learned:
• Subqueries → Query inside a query for filtered results.
• Window Functions → ROW_NUMBER(), RANK(), LEAD(), LAG() for advanced analytics.
• CTEs (Common Table Expressions) → Make queries more readable & reusable.
• Aggregate Functions with GROUP BY → Summarizing data.
• Case Statements → Add conditional logic inside queries.
🔹 Why it matters?
✅ Simplifies complex queries
✅ Helps with ranking, trends & rolling calculations
✅ Essential for real-world data analysis
⚡ Fun Fact: SQL is over 50 years old (1970s) but still one of the most in-demand skills in data analytics today!
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