This course contains the use of artificial intelligence.
Master SQL, PostgreSQL, and database engineering from the ground up with a practical and beginner-friendly approach. This course is designed to help you build a strong understanding of relational databases while gradually progressing toward more advanced database engineering concepts.
You’ll learn the foundations of SQL and understand how to retrieve, filter, sort, group, insert, update, and manage data effectively. Through practical examples, you’ll become comfortable writing SQL queries and working with real database tables.
The course also covers how relational databases are designed and structured. You’ll learn about keys, relationships, constraints, joins, normalization, and schema design so you can build databases that are organized, reliable, and easier to maintain.
As you progress, you’ll explore more advanced SQL techniques such as subqueries, Common Table Expressions, recursive queries, and window functions. These concepts will help you solve more complex data problems and write cleaner, more powerful queries.
You’ll also understand important database engineering topics including indexing, query performance, transactions, concurrency, locks, security, functions, stored procedures, and triggers. This gives you a broader understanding of how databases behave beyond basic SQL commands.
Finally, you’ll explore concepts used in scalable database systems, including migrations, replication, sharding, and partitioning. You’ll also see how PostgreSQL can be connected with Python and Node.js applications, helping you apply your database skills to real-world software development projects.
