PostgreSQL is a powerful, open-source relational database management system (RDBMS) known for its advanced features, reliability, and scalability. It supports SQL for querying and managing data and includes features like support for JSON, spatial data with PostGIS, and custom extensions, making it ideal for modern, complex applications.
PostgreSQL is widely used in web and software development for handling large datasets, complex queries, and high-traffic systems, and it is popular among database administrators for its robust security, performance tuning, and data integrity. Learning PostgreSQL is essential for professionals aiming to work in data-intensive fields or build scalable and secure applications.
A tutor can accelerate this process by providing structured lessons on PostgreSQL's core concepts, such as database design, advanced SQL, and indexing, while offering hands-on projects like creating and managing real-world applications, ensuring learners gain practical, job-ready skills.

Introductory Course of PostgreSQL Database

Chapter 1: Introduction to Databases
  • Lesson 1: What Are Databases? (SQL vs. NoSQL)
  • Lesson 2: Types of Databases (Relational, Document, Key-Value, Columnar, Graph)
  • Lesson 3: Popular Databases: PostgreSQL, MySQL, MongoDB, Oracle DB, etc.
  • Lesson 4: SQL vs. NoSQL: Key Differences and Use Cases
  • Lesson 5: Comparing PostgreSQL with Other Databases
  • Lesson 6: The Role of Databases in Modern Applications
Chapter 2: Introduction to PostgreSQL
  • Lesson 1: What is PostgreSQL?
  • Lesson 2: History and Evolution of PostgreSQL
  • Lesson 3: Key Features and Benefits of PostgreSQL
  • Lesson 4: PostgreSQL Use Cases and Industries
  • Lesson 5: Understanding the PostgreSQL Ecosystem (Server, Client Tools, Extensions)
  • Lesson 6: PostgreSQL vs. MySQL: Key Differences
Chapter 3: Setting Up PostgreSQL
  • Lesson 1: System Requirements for PostgreSQL Installation
  • Lesson 2: Installing PostgreSQL on Windows
  • Lesson 3: Installing PostgreSQL on macOS
  • Lesson 4: Installing PostgreSQL on Linux (Using apt/yum)
  • Lesson 5: Setting Up pgAdmin as an IDE
  • Lesson 6: Command Line Setup and Configuration (psql)
  • Lesson 7: Verifying and Testing the Installation
Chapter 4: PostgreSQL Basics
  • Lesson 1: PostgreSQL Architecture Overview
  • Lesson 2: Connecting to the PostgreSQL Server
  • Lesson 3: Basic PostgreSQL Commands (SHOW DATABASES, CONNECT, EXIT)
  • Lesson 4: Creating Your First Database and Table
  • Lesson 5: Data Types in PostgreSQL (Text, Numeric, Date/Time, JSON, Arrays)
  • Lesson 6: Inserting, Updating, and Deleting Data
Chapter 5: SQL Queries in PostgreSQL
  • Lesson 1: Writing SELECT Queries
  • Lesson 2: Filtering Data with WHERE
  • Lesson 3: Sorting Data with ORDER BY
  • Lesson 4: Using GROUP BY and HAVING Clauses
  • Lesson 5: Working with Aggregate Functions (COUNT, SUM, AVG, MIN, MAX)
  • Lesson 6: Combining Data with Joins (INNER, LEFT, RIGHT, FULL)
Chapter 6: PostgreSQL Functions
  • Lesson 1: String Functions
  • Lesson 2: Numeric Functions
  • Lesson 3: Date and Time Functions
  • Lesson 4: JSON Functions
  • Lesson 5: User-Defined Functions (PL/pgSQL)
Chapter 7: Advanced SQL Queries
  • Lesson 1: Subqueries and Nested Queries
  • Lesson 2: Common Table Expressions (CTEs) and Recursive Queries
  • Lesson 3: Window Functions and Analytics
  • Lesson 4: Advanced Joins and UNION Queries
  • Lesson 5: Transactions and ACID Properties

Advance Course of PostgreSQL Database

Chapter 1: Modern Features in PostgreSQL
  • Lesson 1: Overview of New Features in PostgreSQL Releases
  • Lesson 2: PostgreSQL 15+ Features: Performance Enhancements, Logical Replication
  • Lesson 3: Advanced Indexing Techniques (BRIN, GIN, GiST)
  • Lesson 4: Parallel Query Execution and Optimization
  • Lesson 5: JSONB and NoSQL Capabilities in PostgreSQL
Chapter 2: Database Design and Optimization
  • Lesson 1: Principles of Database Design
  • Lesson 2: Normalization and Denormalization
  • Lesson 3: Indexing for Performance (B-Tree, Hash, GIN, GiST)
  • Lesson 4: Analyzing and Optimizing Queries (EXPLAIN, Query Planner)
  • Lesson 5: Partitioning and Table Inheritance
Chapter 3: Stored Procedures and Triggers
  • Lesson 1: Introduction to Stored Procedures and Functions
  • Lesson 2: Creating and Using PL/pgSQL Stored Procedures
  • Lesson 3: Working with Triggers (AFTER and BEFORE Events)
  • Lesson 4: Error Handling in Stored Procedures
  • Lesson 5: Using Cursors in PostgreSQL
Chapter 4: Backup and Recovery
  • Lesson 1: Importance of Backups in PostgreSQL
  • Lesson 2: Logical Backup with pg_dump and pg_restore
  • Lesson 3: Physical Backups with pg_basebackup
  • Lesson 4: Point-In-Time Recovery (PITR)
  • Lesson 5: Automating Backup Strategies
Chapter 5: Security and User Management
  • Lesson 1: Securing the PostgreSQL Server
  • Lesson 2: Role-Based Access Control (RBAC)
  • Lesson 3: Password Policies and Authentication Methods
  • Lesson 4: Auditing and Logging in PostgreSQL
  • Lesson 5: Data Encryption (SSL, Transparent Data Encryption)
Chapter 6: Working with JSON and NoSQL in PostgreSQL
  • Lesson 1: Introduction to JSON and JSONB in PostgreSQL
  • Lesson 2: Creating and Manipulating JSON Data
  • Lesson 3: Indexing and Querying JSONB Data
  • Lesson 4: Using PostgreSQL as a NoSQL Database
Chapter 7: Performance Tuning and Scalability
  • Lesson 1: Performance Optimization Strategies
  • Lesson 2: Query Execution Plans and Index Optimization
  • Lesson 3: Configuring PostgreSQL for High Performance
  • Lesson 4: Scaling PostgreSQL: Partitioning, Connection Pooling
  • Lesson 5: Load Balancing in PostgreSQL
Chapter 8: High Availability and Clustering
  • Lesson 1: PostgreSQL Replication (Streaming, Logical)
  • Lesson 2: PostgreSQL High Availability Solutions (Patroni, PgBouncer)
  • Lesson 3: PostgreSQL Cluster Overview
  • Lesson 4: Configuring PostgreSQL for Failover and High Availability
Chapter 9: Advanced Tools and Integrations
  • Lesson 1: pgAdmin and Other PostgreSQL Administration Tools
  • Lesson 2: Connecting PostgreSQL with Python, Java, and PHP
  • Lesson 3: Integrating PostgreSQL with Cloud Services (AWS RDS, Azure, GCP)
  • Lesson 4: Monitoring PostgreSQL with Prometheus and Grafana
  • Lesson 5: PostgreSQL Extensions: PostGIS, TimescaleDB, Citus
Chapter 10: Testing and Debugging
  • Lesson 1: Common PostgreSQL Errors and Debugging Techniques
  • Lesson 2: Testing Database Performance
  • Lesson 3: Debugging PL/pgSQL Procedures
  • Lesson 4: Ensuring Data Integrity and Consistency



Course Duration: about 50+10 hours


The online class is held via Skype (or Zoom or Microsoft Teams) and the cost per hour of tutoring is only $15. At the end of this long course, you will master all the required basic and advanced concepts of PostgreSQL Database and we will develop a real-world web application (using PostgreSQL) together for about 10 hours in localhost, that fully prepares you to find a job as a professional developer or entry-level Database Administrator.
To book this class, message or call my telegram or WhatsApp:
+98 (912) 490-8372 or +98 (935) 490-8372
You can also send email to me:
abolfazl.mohammadijoo@gmail.com

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