Post #2395

✅Top 10 SQL Statements & Functions for Data Analysis📊💻 Mastering SQL is essential for data analysts. Here are the most commonly used SQL commands and functions that help extract, manipulate, and summarize data efficiently. 1️⃣SELECT – Retrieve Data Use it to fetch specific columns from a table. SELECT name, age FROM employees; 2️⃣FROM – Specify Table Tells SQL where to pull the data from. SELECT * FROM sales_data; 3️⃣WHERE – Filter Data Applies conditions to filter rows. SELECT * FROM customers WHERE city = 'Delhi'; 4️⃣GROUP BY – Aggregate by Categories Groups rows based on one or more columns for aggregation. SELECT department, COUNT(*) FROM employees GROUP BY department; 5️⃣HAVING – Filter After Grouping Filters groups after GROUP BY (unlike WHERE, which filters rows). SELECT category, SUM(sales) FROM orders GROUP BY category HAVING SUM(sales) > 10000; 6️⃣ORDER BY – Sort Results Sorts the result set in ascending or descending order. SELECT name, salary FROM employees ORDER BY salary DESC; 7️⃣COUNT() – Count Records Counts number of rows or non-null values. SELECT COUNT(*) FROM products; 8️⃣SUM() – Total Values Calculates the sum of numeric values. SELECT SUM(amount) FROM transactions; 9️⃣AVG() – Average Values Returns the average of numeric values. SELECT AVG(price) FROM items; 🔟JOIN – Combine Tables Combines rows from multiple tables based on related columns. SELECT a.name, b.order_date FROM customers a JOIN orders b ON a.id = b.customer_id; SQL Resources: https://whatsapp.com/channel/0029VanC5rODzgT6TiTGoa1v 💬Tap ❤️ for more!