PostgreSQL for Everybody Specialization Course Syllabus

An in-depth specialization that equips learners with essential PostgreSQL skills, blending theoretical knowledge with practical application. This course is structured into four core modules and a final project, totaling approximately 55 hours of content. Learners will progress from foundational database design to advanced topics such as JSON handling, natural language processing, and database scaling with Elasticsearch. Designed for flexibility, the course allows working professionals to learn at their own pace while applying concepts through hands-on exercises.

Module 1: Database Design and Basic SQL in PostgreSQL

Estimated time: 13 hours

• Create and manage database tables using PostgreSQL
• Understand primary keys, foreign keys, and table relationships
• Perform basic SQL operations: SELECT, INSERT, UPDATE, DELETE
• Apply constraints and data types effectively in schema design

Module 2: Intermediate PostgreSQL

Estimated time: 16 hours

• Normalize databases to reduce redundancy and improve integrity
• Write advanced SQL queries using joins and subqueries
• Use stored procedures and functions for reusable logic
• Handle text manipulation and date/time data types in queries

Module 3: JSON and Natural Language Processing in PostgreSQL

Estimated time: 16 hours

• Store and query JSON data using PostgreSQL's JSONB type
• Create GIN indexes for efficient JSON data retrieval
• Implement full-text search and natural language processing features
• Analyze unstructured text data directly within the database

Module 4: Database Architecture, Scale, and NoSQL with Elasticsearch

Estimated time: 10 hours

• Compare SQL and NoSQL database models and use cases
• Understand PostgreSQL's internal architecture and scalability limits
• Integrate PostgreSQL with Elasticsearch for enhanced search capabilities

Module 5: Final Project

Estimated time: 10 hours

• Design a complete database schema for a real-world application
• Populate the database with sample data and implement advanced queries
• Incorporate JSON data and full-text search features using PostgreSQL and Elasticsearch integration

Prerequisites

• Familiarity with basic programming concepts and syntax
• Understanding of Python programming language
• Basic knowledge of command-line interface and file systems

What You'll Be Able to Do After

• Design and implement efficient relational databases using PostgreSQL
• Write complex SQL queries involving joins, subqueries, and regular expressions
• Manage semi-structured data using JSON and perform text analysis
• Scale database applications using Elasticsearch integration
• Pursue roles such as Database Administrator, Data Analyst, or Backend Developer