Persisting Data in a PostgreSQL Docker Container | SQL Fundamentals with PostgreSQL

Module 4 Persisting Data in a PostgreSQL Docker Container Master the fundamentals of SQL using PostgreSQL, one of the most powerful and widely used relational database systems! Whether you're a beginner looking to break into data management or a developer wanting to strengthen your SQL skills, this course will provide you with a solid foundation in database design, querying, and data manipulation. ⏯️ YouTube Playlist:    • Course | SQL Fundamentals with PostgreSQL ...   🚀 Udemy Course Link: https://www.udemy.com/course/sql-fund... ➡️ Source Code: https://github.com/veryacademy/Course... You'll learn how to create databases, define tables, insert and manage data, perform complex queries, and optimize performance—all using real-world examples and best practices. By the end of this course, you'll be confident in writing SQL queries and ready to apply your knowledge in real-world projects. Learning Outcomes By the end of this course, learners will be able to: SQL Fundamentals & PostgreSQL Setup • Install and set up PostgreSQL within Docker. • Understand relational databases & SQL syntax. Defining and Managing Tables • Create and modify tables using primary & foreign keys. • Define data types, constraints, and relationships. • Implement one-to-one, one-to-many, and many-to-many. Inserting, Updating, and Deleting Data • Perform INSERT, UPDATE, and DELETE operations. • Use transactions & rollbacks for data integrity. • Load JSON & CSV data into PostgreSQL. Querying and Filtering Data • Retrieve data using SELECT queries. • Filter records using WHERE, LIKE, IN, BETWEEN • Use ORDER BY, LIMIT, and OFFSET for pagination. Joins & Relationships in SQL • Master INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN. • Understand how to join multiple tables effectively. • Handle one-to-many and many-to-many relationships. Aggregations & Grouping Data • Use COUNT, SUM, AVG, MIN, MAX for data aggregation. • Learn GROUP BY and HAVING for grouped data filtering. • Work with subqueries and derived tables.