✅ 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!