Welcome to my SQL Learning Journey repository! This repository is a curated collection of notes, concepts, and code snippets as I explore and master SQL. 🚀
Structured Query Language (SQL) is the standard language for managing and manipulating relational databases. This repository is my journey to:
- Master SQL fundamentals.
- Work with databases like MySQL, PostgreSQL, and SQLite.
- Learn query optimization and advanced SQL techniques.
- Build real-world SQL projects.
- Topics Covered:
- Introduction to Databases and SQL
- Writing basic queries:
SELECT
,WHERE
,LIMIT
- Filtering Data:
AND
,OR
,NOT
,BETWEEN
,IN
- Sorting Results:
ORDER BY
- Topics Covered:
- Aggregation:
COUNT
,SUM
,AVG
,MIN
,MAX
- Grouping Data:
GROUP BY
,HAVING
- Table Joins:
INNER JOIN
,LEFT JOIN
,RIGHT JOIN
,FULL JOIN
- Subqueries and Nested Queries
- Aggregation:
- Topics Covered:
- Writing complex queries
- Debugging and testing SQL scripts
- Hands-on projects with real datasets
SELECT first_name, last_name, email
FROM employees
WHERE department = 'Sales';
SELECT department, COUNT(*) AS employee_count
FROM employees
GROUP BY department
HAVING COUNT(*) > 10;
SELECT orders.order_id, customers.customer_name, orders.total_amount
FROM orders
INNER JOIN customers ON orders.customer_id = customers.customer_id;
Here’s an example of a README formatted for code-based GitHub repositories. I’ve fixed your example and added additional refinements to make it cohesive:
markdown Copy code
Welcome to my SQL Learning Journey repository! This repository is a curated collection of notes, concepts, and code snippets as I explore and master SQL. 🚀
Structured Query Language (SQL) is the standard language for managing and manipulating relational databases. This repository is my journey to:
- Master SQL fundamentals.
- Work with databases like MySQL, PostgreSQL, and SQLite.
- Learn query optimization and advanced SQL techniques.
- Build real-world SQL projects.
- Topics Covered:
- Introduction to Databases and SQL
- Writing basic queries:
SELECT
,WHERE
,LIMIT
- Filtering Data:
AND
,OR
,NOT
,BETWEEN
,IN
- Sorting Results:
ORDER BY
- Topics Covered:
- Aggregation:
COUNT
,SUM
,AVG
,MIN
,MAX
- Grouping Data:
GROUP BY
,HAVING
- Table Joins:
INNER JOIN
,LEFT JOIN
,RIGHT JOIN
,FULL JOIN
- Subqueries and Nested Queries
- Aggregation:
- Topics Covered:
- Writing complex queries
- Debugging and testing SQL scripts
- Hands-on projects with real datasets
SELECT first_name, last_name, email
FROM employees
WHERE department = 'Sales';
📂 See more examples here
Example 2: Aggregating Data
SELECT department, COUNT(*) AS employee_count
FROM employees
GROUP BY department
HAVING COUNT(*) > 10;
📂 Aggregation Examples
Example 3: Joining Tables
SELECT orders.order_id, customers.customer_name, orders.total_amount
FROM orders
INNER JOIN customers ON orders.customer_id = customers.customer_id;
SELECT orders.order_id, customers.customer_name, orders.total_amount
FROM orders
INNER JOIN customers ON orders.customer_id = customers.customer_id;
🤝 Contributing Contributions are welcome! If you have useful examples or suggestions, feel free to fork this repo, create a branch, and submit a pull request. Let’s learn SQL together! 💡
📬 Contact For questions or feedback, feel free to reach out:
📧 Email: [email protected] 💼 LinkedIn: manjay verma