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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 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?
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