Module 4 Administrating Database Data with pgAdmin
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:
https://youtube.com/playlist?list=PLOLrQ9Pn6caykER3hgdEajMiT-OnCicLK&si=y4BKFtsF0XVDCQZ3
🚀 Udemy Course Link:
https://www.udemy.com/course/sql-fundamentals-postgresql/?referralCode=3ADAD1B84D5002E61B22
➡️ Source Code:
https://github.com/veryacademy/Courseware-SQL-Fundamentals-with-PostgreSQL-FreeView
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.