Post #2289

✅SQL Checklist for Data Analysts📀🧠 1. SQL Basics ⦁ SELECT, WHERE, ORDER BY ⦁ DISTINCT, LIMIT, BETWEEN, IN ⦁ Aliasing (AS) 2. Filtering & Aggregation ⦁ GROUP BY & HAVING ⦁ COUNT(), SUM(), AVG(), MIN(), MAX() ⦁ NULL handling with COALESCE, IS NULL 3. Joins ⦁ INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN ⦁ Joining multiple tables ⦁ Self Joins 4. Subqueries & CTEs ⦁ Subqueries in SELECT, WHERE, FROM ⦁ WITH clause (Common Table Expressions) ⦁ Nested subqueries 5. Window Functions ⦁ ROW_NUMBER(), RANK(), DENSE_RANK() ⦁ LEAD(), LAG() ⦁ PARTITION BY & ORDER BY within OVER() 6. Data Manipulation ⦁ INSERT, UPDATE, DELETE ⦁ CREATE TABLE, ALTER TABLE ⦁ Constraints: PRIMARY KEY, FOREIGN KEY, NOT NULL 7. Optimization Techniques ⦁ Indexes ⦁ Query performance tips ⦁ EXPLAIN plans 8. Real-World Scenarios ⦁ Writing complex queries for reports ⦁ Customer, sales, and product data ⦁ Time-based analysis (e.g., monthly trends) 9. Tools & Practice Platforms ⦁ MySQL, PostgreSQL, SQL Server ⦁ DB Fiddle, Mode Analytics, LeetCode (SQL), StrataScratch 10. Portfolio & Projects ⦁ Showcase queries on GitHub ⦁ Analyze public datasets (e.g., ecommerce, finance) ⦁ Document business insights SQL Resources: https://whatsapp.com/channel/0029VanC5rODzgT6TiTGoa1v 💡Double Tap ♥️ For More