Post #2449

✅SQL Checklist for Data Analysts🧠💻 📚 1. Understand SQL Basics ☑ What is SQL and how databases work ☑ Relational vs non-relational databases ☑ Table structure: rows, columns, keys 🧩 2. Core SQL Queries ☑ SELECT, FROM, WHERE ☑ ORDER BY, LIMIT ☑ DISTINCT, BETWEEN, IN, LIKE 🔗 3. Master Joins ☑ INNER JOIN ☑ LEFT JOIN / RIGHT JOIN ☑ FULL OUTER JOIN ☑ Practice combining data from multiple tables 📊 4. Aggregation & Grouping ☑ COUNT, SUM, AVG, MIN, MAX ☑ GROUP BY & HAVING ☑ Aggregate filtering 📈 5. Subqueries & CTEs ☑ Use subqueries inside SELECT/WHERE ☑ WITH clause for common table expressions ☑ Nested queries and optimization basics 🧮 6. Window Functions ☑ RANK(), ROW_NUMBER(), DENSE_RANK() ☑ PARTITION BY & ORDER BY ☑ LEAD(), LAG(), SUM() OVER 🧹 7. Data Cleaning with SQL ☑ Remove duplicates (DISTINCT, ROW_NUMBER) ☑ Handle NULLs ☑ Use CASE WHEN for conditional logic 🛠️ 8. Practice & Real Tasks ☑ Write queries from real datasets ☑ Analyze sales, customers, transactions ☑ Build reports with JOINs and aggregations 📁 9. Tools to Use ☑ PostgreSQL / MySQL / SQL Server ☑ db-fiddle, Mode Analytics, DataCamp, StrataScratch ☑ VS Code + SQL extensions 🚀 10. Interview Prep ☑ Practice 50+ SQL questions ☑ Solve problems on LeetCode, HackerRank ☑ Explain query logic clearly in mock interviews 💬Tap ❤️ if this was helpful!