By the end of this course, learners will be able to install and configure PostgreSQL, create and manage relational databases, insert and manipulate data efficiently, and construct optimized queries to retrieve and analyze information. Learners will also apply aggregation, filtering, and grouping techniques to generate meaningful insights from structured data.

Apply PostgreSQL Fundamentals for Data Management

Apply PostgreSQL Fundamentals for Data Management
This course is part of Apply PostgreSQL for Data Analysis and Database Design Specialization

Instructor: EDUCBA
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Recommended experience
What you'll learn
Install and configure PostgreSQL and create, manage, and populate relational databases.
Write optimized SQL queries using filtering, aggregation, and grouping techniques.
Analyze structured data to generate meaningful insights using PostgreSQL queries.
Skills you'll gain
Details to know

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12 assignments
February 2026
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There are 3 modules in this course
This module introduces learners to PostgreSQL and establishes a strong foundation in relational database concepts. Learners explore PostgreSQL’s core features, understand how to download and install the database system, and configure it for use across different environments. The module also introduces table creation, basic data insertion, and command-line interaction, enabling learners to confidently set up and interact with PostgreSQL databases using both graphical and terminal-based tools.
What's included
6 videos4 assignments
This module focuses on data manipulation techniques within PostgreSQL. Learners practice creating and populating databases, inserting data efficiently, and managing large datasets using advanced DML operations. The module introduces multi-row inserts, UPSERT logic for handling conflicts, and reinforces learning through structured assignments. Learners also begin querying data using SELECT statements to validate and retrieve stored information.
What's included
7 videos4 assignments
This module develops advanced querying skills by focusing on data retrieval, filtering, sorting, and aggregation. Learners work with aggregate functions, advanced SELECT clauses, and ordering techniques to analyze datasets effectively. The module also introduces pattern matching using LIKE, as well as GROUP BY and HAVING clauses, enabling learners to generate meaningful summaries and analytical insights from relational data.
What's included
7 videos4 assignments
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