Postgresql Mastery 2025

From Fundamentals to Production - part 1

What you'll learn

Master PostgreSQL fundamentals & core concepts

Set up PostgreSQL on various platforms (local, cloud, containers)

Create and manage essential database objects (tables, schemas, indexes)

Perform robust data insertion, modification, and removal using DML

Write powerful SQL queries for complex data retrieval and analysis

Utilise PostgreSQL's diverse data types and functions effectively

Control database access and security with roles and privileges (DCL)

Ensure data integrity and reliability using SQL transactions (TCL)

Analyse and aggregate data using COUNT, SUM, AVG, MIN, MAX, GROUP BY, and HAVING

Requirements

This course is designed to be beginner-friendly, and we start right from the fundamentals of data management and databases. You won't need any prior database experience to get started.

A computer (Windows, macOS, or Linux): We provide comprehensive, hands-on instructions for installing PostgreSQL across all major operating systems, including visual installers like EnterpriseDB for Windows and macOS, and terminal-based methods using package managers like APT, Homebrew, and Chocolatey

Basic computer literacy: Familiarity with navigating a computer, using a web browser, and managing files is helpful.

Internet access: To download the necessary software and access the course materials

A desire to learn: An open mind and a willingness to follow along with the practical examples will be your greatest assets!

While we delve into cloud-managed and containerised PostgreSQL deployments, you won't need existing cloud accounts or Docker expertise to begin. We'll guide you through setting these up from scratch, often leveraging free-tier options for hands-on practice

Description

PostgreSQL Mastery: From Fundamentals to Production (Part 1)Kickstart your career in data with PostgreSQL Mastery: From Fundamentals to Production (Part 1), the essential course for aspiring database professionals and developers in 2025. This foundational segment of our comprehensive program is designed to equip you with the core knowledge and practical skills to confidently work with PostgreSQL, the sophisticated database powering modern applications.What You'll Learn in Part 1:Section 1: Database FundamentalsWe'll lay the groundwork by exploring the evolution of data management, from simple file systems to today's complex database ecosystems. You'll master fundamental database terminology such as tables, records, fields, schemas, and queries, and uncover PostgreSQL's powerful features like custom data types, table inheritance, and Multi-Version Concurrency Control (MVCC). This section also delves into the modern database landscape, understanding diverse categories and use cases, and the enduring relevance of relational databases, including E.F. Codd’s groundbreaking model. Discover PostgreSQL’s innovative hybrid features, seamlessly blending relational reliability with NoSQL-like flexibility. Gain insight into its rich history, unique architecture, and growing market adoption, alongside comparisons with other prominent RDBMSs like MySQL, Oracle, and SQL Server. You'll also be introduced to the critical ACID properties (Atomicity, Consistency, Isolation, Durability) that underpin transactional reliability.Section 2: Environment SetupGet hands-on with setting up your PostgreSQL environment across various platforms. We guide you through the user-friendly visual installation using the EnterpriseDB installer for both Windows and macOS systems. You'll also master terminal-based installations using popular package managers such as APT for Linux, Homebrew for macOS, and Chocolatey for Windows. Explore cutting-edge cloud-managed PostgreSQL options with Amazon RDS, Microsoft Azure Database for PostgreSQL, and Google Cloud SQL, learning to provision and connect to robust instances in the cloud. Dive into serverless PostgreSQL solutions like Neon, featuring revolutionary database branching capabilities, Supabase, a complete backend-as-a-service platform with real-time APIs, and TimescaleDB, optimised for high-performance time-series data. Finally, harness the power of containerisation with Docker and Kubernetes, ensuring consistent development environments, instant provisioning, and effortless cleanup for your PostgreSQL databases. We'll also provide a deep dive into essential PostgreSQL tools and interfaces, including the command-line client psql and the graphical management tool pgAdmin 4.Section 3: SQL FoundationThe core of Part 1 is the SQL Foundation, providing you with a complete toolkit for database interaction, covering all five SQL sub-languages:Data Definition Language (DDL): Learn to create, modify, and drop database objects including databases, schemas, tables, and powerful constraints (e.g., NOT NULL, UNIQUE, CHECK). Master the use of sequences, including SERIAL and IDENTITY columns, for unique identifiers, and understand basic index creation.Data Manipulation Language (DML): Conquer data insertion with basic INSERT statements and efficient bulk loading using the COPY command. You'll gain expertise in modifying existing data with UPDATE and the versatile MERGE statement introduced in PostgreSQL 15, and learn to remove data safely and efficiently using DELETE and TRUNCATE operations.Data Query Language (DQL): Develop advanced skills to retrieve and analyse data using the SELECT statement. This includes column selection, filtering with WHERE, sorting with ORDER BY, and pagination using LIMIT, OFFSET, and FETCH. Explore PostgreSQL's special querying features such as system/session information functions and powerful CASE expressions. Deep dive into data type operations for strings (including regular expressions), numbers, and temporal types (dates, times, intervals, and critical time zone considerations). You'll master comprehensive NULL handling with COALESCE and NULLIF, and essential type conversions using CAST, :: syntax, and functions like TO_CHAR. Master basic data aggregation with COUNT, SUM, AVG, MIN, MAX, GROUP BY, and HAVING clauses. Crucially, you'll understand table joins (INNER, LEFT, RIGHT, FULL OUTER, CROSS joins) to combine related data, and leverage set operations (UNION, INTERSECT, EXCEPT) to combine or compare query results. Finally, unlock the flexibility of subqueries in WHERE, SELECT, and FROM clauses, including scalar, multi-row, EXISTS, and correlated subqueries.Data Control Language (DCL): Gain expertise in managing database security by creating and modifying user roles, and granting or revoking privileges to control access to your data and objects.Transaction Control Language (TCL): Ensure data integrity and reliability using transactions with BEGIN, COMMIT, ROLLBACK, and SAVEPOINT commands, making your operations reliable and consistent.This course is packed with real-world scenarios and practical examples, designed to transform you into a confident PostgreSQL practitioner. By completing Part 1, you'll possess a robust foundation for building, managing, and querying PostgreSQL databases, setting you up for success in your database career.

Overview

Section 1: Module 1: Database Fundamentals

Lecture 1 Lesson 1: Understanding Modern Databases

Lecture 2 Lesson 2: Deep Dive into Relational Databases

Lecture 3 Lesson 3: Introduction to PostgreSQL

Section 2: Module 2: Environment Setup

Lecture 4 Lesson 4: PostgreSQL Installation Overview

Lecture 5 Lesson 5: Visual Installation & Tools (Windows and macOS)

Lecture 6 Lesson 6: Terminal Installation & Tools (Linux, macOS, Windows)

Lecture 7 Lesson 7: Cloud PostgreSQL Options (AWS, Azure, GCP)

Lecture 8 Lesson 8: Serverless Options (Neon, Supabase, TimescaleDB)

Lecture 9 Lesson 9: Container Fundamentals (Docker/Kubernetes)

Lecture 10 Lesson 10: PostgreSQL Tools & Interfaces

Section 3: Module 3: SQL Foundation

Lecture 11 Lesson 11: SQL Fundamentals

Lecture 12 Lesson 12: Data Types - Part I - What are data types?

Lecture 13 Lesson 12: Data Types - Part II - Numeric and Text Types

Lecture 14 Lesson 12: Data Types - Part III - Temporal, Others Types and Type Conversion

Lecture 15 Lesson 13: DDL - Basic Database Object Creation

Lecture 16 Lesson 14: DDL - Table Creation

Lecture 17 Lesson 15: DDL - Sequence, Key and Index Creation

Lecture 18 Lesson 16: DDL - Basic Database Object Management

Lecture 19 Lesson 17: DDL - Table Management

Lecture 20 Lesson 18: DDL - Constraint, Sequence and Index Management

Lecture 21 Lesson 19: DML - Data Insertion

Lecture 22 Lesson 20: DML - Data Modification (UPDATE and MERGE)

Lecture 23 Lesson 21: DML - Data Removal (DELETE and TRUNCATE)

Lecture 24 Lesson 22: DQL - Querying Basics

Lecture 25 Lesson 23: DQL - Querying Special Features

Lecture 26 Lesson 24: DQL - Data Type Operations (Strings, Numbers and Temporal Types)

Lecture 27 Lesson 25: DQL - Data Type Operations (Null Handling and Type Conversions)

Lecture 28 Lesson 26: DQL - Basic Data Aggregation

Lecture 29 Lesson 27: DQL - Understanding Table Joins

Lecture 30 Lesson 28: DQL - Set Operations

Lecture 31 Lesson 29: DQL - SQL Subqueries

Lecture 32 Lesson 30: DCL - Creating Roles and Granting Privileges

Lecture 33 Lesson 31: DCL - Managing Roles and Revoking Privileges

Lecture 34 Lesson 32: TCL - Transaction Fundamentals

This course is ideally suited for a broad range of learners eager to master the world's most advanced open-source relational database:,Aspiring database professionals and developers: Anyone looking to kickstart or advance their career in data engineering, backend development, or database administration in 2025 will find this course foundational,Absolute beginners: If you have no prior database experience but are keen to learn SQL and database concepts from the ground up, this course is for you. We start with the evolution of data management and fundamental terminology, ensuring a solid understanding,Students and tech enthusiasts: Those interested in understanding how data powers modern applications and gaining a highly sought-after skill with a free and open-source database that is an industry leader,Professionals migrating from other database systems: If you're currently working with databases like MySQL, Oracle, or SQL Server and wish to transition to or broaden your expertise with PostgreSQL, this course provides a comprehensive deep dive into PostgreSQL's unique features and its strong SQL compliance,Backend and full-stack developers: Developers who need to design, interact with, and manage databases for their applications will gain practical skills in database setup, querying, and data manipulation,Financial professionals: Those needing absolute precision in calculations, robust reporting, and transactional integrity for sensitive data like banking or fund management will find it invaluable,Marketing and sales teams: Anyone looking to manage customer relationships, perform targeted campaigns, and analyze customer behaviour with powerful data filtering and aggregation tools,Accountants and daily spreadsheet users: Professionals accustomed to spreadsheets who encounter data redundancy, consistency issues, multi-user access challenges, or scalability limits will benefit from a robust database solution