Quick SQL Reference – The Only Cheat Sheet You’ll Ever Need

Whether you’re a beginner or preparing for advanced analytics roles, SQL is the backbone of working with data. Here’s a clear & direct breakdown:

🔹 Finding Data
SELECT, DISTINCT, WHERE, ORDER BY, LIKE, BETWEEN, IS NULL

🔹 Data Modification
INSERT, UPDATE, DELETE

🔹 Aggregations
COUNT, SUM, AVG, MIN, MAX, GROUP BY, HAVING

🔹 Joins
INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN, SELF JOIN

🔹 Views & Indexing
CREATE VIEW, DROP VIEW, CREATE INDEX, FULL-TEXT INDEX

🔹 Transactions
BEGIN, COMMIT, ROLLBACK — control changes safely

🔹 Advanced
Subqueries, CTEs, UNION/EXCEPT, Altering Tables

👉 Mastering these commands = real confidence in interviews & real-world projects.

🎓 Recommended Free Courses to Get Started
SQL Basics for Data Science → https://programmingvalley.com/course/sql-for-data-science-free-course/
IBM Data Science Certificate → https://programmingvalley.com/course/ibm-data-science-free-course/
Google Data Analytics Certificate → https://imp.i384100.net/c/5617308/1688111/14726
Generative AI for Data Scientists → https://programmingvalley.com/course/generative-ai-for-data-scientists-free-course/

💬 What’s the SQL command you use most in your day-to-day work?