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Querying PostgreSQL Databases Course Overview

Querying PostgreSQL Databases Course Overview

The "Querying PostgreSQL Databases" course is a comprehensive guide designed for learners who wish to master the art of querying databases using PostgreSQL. Beginning with Module 1: Introduction to PostgreSQL Server, students gain foundational knowledge about PostgreSQL, including its Overview, History, and PostgreSQL Internals that sets the stage for understanding the database system's architecture and operation.

As the course progresses through Module 2: Introduction to SQL Language, participants learn the essentials of crafting SQL Queries and the Structure of SQL Queries, equipping them with the skills to interact with databases effectively.

Modules such as Working with Data Types, Built-In-Functions, Querying and Filtering Data, and advanced topics like Joins, Group and Aggregation, Windows Function, and Views, Sub Query Expressions and Common Table Expressions delve deeper into the practical aspects of database interaction.

Learners will also explore Working with Functions, Querying Metadata of PostgreSQL, and understand database manipulation through Introduction to DML. Furthermore, the course covers performance optimization by introducing Indexes and Collations, and students become familiar with PostgreSQL management tools in Introduction of PGADMIN III.

This course is beneficial for those aspiring to become proficient in database management, query optimization, and data analysis. By acquiring these skills, learners can effectively manage and analyze large datasets, making informed decisions based on data-driven insights.

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Target Audience for Querying PostgreSQL Databases

The "Querying PostgreSQL Databases" course offers deep insights into SQL and PostgreSQL for professionals seeking to master Database Management.


  • Database Administrators
  • Data Analysts
  • IT Professionals transitioning into database roles
  • Software Developers working with PostgreSQL databases
  • System Architects designing database solutions
  • BI Professionals looking to enhance their querying skills
  • Data Scientists requiring SQL knowledge for data manipulation
  • Technical Project Managers overseeing database projects
  • Database Consultants providing PostgreSQL solutions
  • DevOps Engineers involved in database automation and integration tasks


Learning Objectives - What you will Learn in this Querying PostgreSQL Databases?

Introduction to Learning Outcomes:

In this comprehensive course on Querying PostgreSQL Databases, participants will gain a robust understanding of PostgreSQL’s capabilities, SQL query writing, data manipulation, and advanced features like window functions and index optimization.

Learning Objectives and Outcomes:

  • Understand PostgreSQL's architecture, history, and internal mechanisms.
  • Master the fundamentals of SQL language, including crafting well-structured queries.
  • Manipulate and query data using PostgreSQL data types and built-in functions.
  • Apply filtering techniques to datasets using WHERE clauses, handle NULL values, and sort results with ORDER BY.
  • Utilize DISTINCT to remove duplicate data and understand the importance of unique datasets.
  • Perform type conversions and operate with a variety of operators, including logical, mathematical, and comparison operators.
  • Implement different types of joins to combine data from multiple tables effectively.
  • Group data and perform aggregate calculations to summarize datasets.
  • Use window functions for advanced data analysis and manipulation over subsets of data.
  • Create and manage views, subqueries, common table expressions, and leverage functions to encapsulate complex logic.
  • Query metadata using system information and administration functions to gain insights about the database structure.
  • Learn Data Manipulation Language (DML) for inserting, updating, and deleting records.
  • Understand the role of indexes and collations in optimizing database performance.
  • Get acquainted with PGADMIN III for PostgreSQL management and administration tasks.

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