Getting started with MySQL command line
BeginnerGuided Project
In this project, you will use the MySQL command line interface (CLI) to create a database and 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.
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Language
- English
Topic
- Database
Enrollment Count
- 8.58K
Skills You Will Learn
- Databases, MySQL
Offered By
- IBM
Estimated Effort
- 40 Minutes
Platform
- SkillsNetwork
Last Update
- June 3, 2025
About this Guided Project
About This Guided Project
In this project, you will use the MySQL command line interface (CLI) to create a 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 database.
Objectives
After completing this project, you will be able to use the MySQL 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
No prior knowledge or experience with MySQL is required. You need a computer with a modern web browser and access to the internet. There is nothing to download or install. Everything needed to complete this project is will be provided on enrolment via a web browser.
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, or Safari.

Language
- English
Topic
- Database
Enrollment Count
- 8.58K
Skills You Will Learn
- Databases, MySQL
Offered By
- IBM
Estimated Effort
- 40 Minutes
Platform
- SkillsNetwork
Last Update
- June 3, 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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