Getting Started with PostgreSQL command line
BeginnerGuided Project
In this project, you will use the PostgreSQL command line interface (CLI) to a create database and to restore the structure and contents of tables. Then you will learn how to explore and query tables. Finally, you will learn how to dump/backup tables from a database.

Language
- English
Topic
- Computer Science & Information Technology
Enrollment Count
- 896
Offered By
- IBM
Platform
- SkillsNetwork
Last Update
- March 19, 2025
About this Guided Project
About This Guided Project
In this project, you will use the PostgreSQL command line interface (CLI) to a create database and to restore the structure and contents of tables. Then you will learn how to explore and query tables. Finally, you will learn how to dump/backup tables from a database.
Objectives
After completing this project, you will be able to use the PostgreSQL command line to:
- Create a database
- Restore the structure and data of a table
- Explore and query tables
- Dump/backup tables from a database
Requirements
To complete this project you will need the PostgreSQL relational database service which will be available as part of the IBM Skills Network Labs (SN Labs) Cloud IDE. SN Labs is a virtual lab environment used in this project
Frequently Asked Questions
Do I need to install any software to participate in this project?
Everything you need to complete this project will be provided to you via the Skills Network Labs and it will all be available via a standard web browser.
What web browser should I use?
The Skills Network Labs platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer, or Safari.

Language
- English
Topic
- Computer Science & Information Technology
Enrollment Count
- 896
Offered By
- IBM
Platform
- SkillsNetwork
Last Update
- March 19, 2025
Instructors
Sandip Saha Joy
Cognitive Data Scientist
An aspiring data scientist who enjoys connecting the dots: be it ideas from different disciplines, people from different teams, or applications from different industries. Have an academic background in computing science and strong technical skills in computer vision, machine learning and data science.
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