SQL Tutorial for Beginners | Learn SQL in 20 Minutes

SQL Tutorial for Beginners | Learn SQL in 20 Minutes Want to learn SQL from scratch? 🚀 In this beginner-friendly SQL tutorial, you'll learn essential SQL concepts using a practical e-commerce database and real-world business questions. Whether you're preparing for a Data Analyst interview, learning SQL for your career, or improving your data analysis skills, this tutorial will help you understand how to retrieve, filter, summarize, and analyze data using SQL. 📚 What You'll Learn ✅ Chapter 1: Filter Data with WHERE and AND ✅ Chapter 2: Aggregate Data with GROUP BY ✅ Chapter 3: Combine Tables with INNER JOIN ✅ Chapter 4: Filter and Control Query Results 🗄️Tables & Queries DROP TABLE IF EXISTS users; CREATE TABLE IF NOT EXISTS users( user_id INT PRIMARY KEY, user_name VARCHAR (100), email VARCHAR (50), city VARCHAR (50), created_at TIMESTAMP ); DROP TABLE IF EXISTS products; CREATE TABLE IF NOT EXISTS products( product_id INT PRIMARY KEY, product_name VARCHAR (100), category VARCHAR (100), price DECIMAL (10,2) ); DROP TABLE IF EXISTS orders; CREATE TABLE IF NOT EXISTS orders( order_id INT PRIMARY KEY, user_id INT REFERENCES users(user_id), product_id INT REFERENCES products(product_id), amount DECIMAL(10,2), status VARCHAR (30), order_date TIMESTAMP ); INSERT INTO users (user_id, user_name, email, city, created_at) VALUES (1, 'Alice', 'alice@example.com', 'Mumbai', '2026-08-01 10:00:00'), (2, 'Ben', 'ben@example.com', 'Delhi', '2026-08-02 11:00:00'), (3, 'Cara', 'cara@example.com', 'Mumbai', '2026-08-03 12:00:00'), (4, 'Dev', 'dev@example.com', NULL, '2026-08-04 13:00:00'), (5, 'Esha', 'esha@example.com', 'Pune', '2026-08-05 14:00:00'), (6, 'Farhan', 'farhan@example.com', 'Chennai', '2026-08-06 15:00:00'); INSERT INTO products (product_id, product_name, category, price) VALUES (101, 'Keyboard', 'Electronics', 1500.00), (102, 'Mouse', 'Electronics', 700.00), (103, 'Bottle', 'Lifestyle', 500.00), (104, 'Backpack', 'Accessories', 1200.00), (105, 'Webcam', 'Electronics', 2500.00); INSERT INTO orders (order_id, user_id, product_id, amount, status, order_date) VALUES (1001, 1, 101, 1500.00, 'Completed', '2026-09-01 09:00:00'), (1002, 1, 102, 700.00, 'Completed', '2026-09-02 10:00:00'), (1003, 2, 101, 1500.00, 'Pending', '2026-09-03 11:00:00'), (1004, 3, 104, 1200.00, 'Completed', '2026-09-04 12:00:00'), (1005, 3, 103, 500.00, 'Cancelled', '2026-09-05 13:00:00'), (1006, 4, 102, NULL, 'Pending', '2026-09-06 14:00:00'), (1007, 2, 103, 500.00, 'Completed', '2026-09-07 15:00:00'); SELECT * FROM users; SELECT * FROM products; SELECT * FROM orders; 💼 Practice Real-World SQL Questions Throughout this tutorial, you'll solve practical SQL problems based on an e-commerce database, including: Finding completed and pending orders Identifying orders above a specific amount Calculating order counts, totals, and averages Combining customer and product information Finding products with multiple orders Displaying results in pages using LIMIT and OFFSET 🎯 Who Should Watch This Video? SQL beginners learning from scratch Aspiring Data Analysts and Business Analysts Students preparing for SQL interviews Professionals improving their SQL skills Anyone learning SQL for reporting and data analysis 🛠️ SQL Concepts Covered SELECT | WHERE | AND | IS NULL | COUNT() | SUM() | AVG() | GROUP BY | INNER JOIN | DISTINCT | HAVING | ORDER BY | LIMIT | OFFSET 📌 Your challenge: Try writing the queries yourself before watching the solutions. Practicing each query will help you understand SQL faster. If you found this tutorial helpful, like the video, subscribe to the channel, and comment below with the SQL topic you'd like to learn next. #SQL #SQLTutorial #LearnSQL #SQLForBeginners #DataAnalyst #SQLInterviewQuestions #DataAnalytics