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SQL Fundamentals

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4.7+
98 reviews
Updated 03/2026
Master the SQL fundamentals needed for business, learn how to write SQL queries, and start analyzing your data using this powerful language.
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Track Description

SQL Fundamentals

Gain the fundamental SQL skills you need to interact with and query your data. SQL is a powerful language used by data-driven businesses, large and small, to explore and manipulate their data to extract meaningful insights. In this track, you'll learn the SQL fundamentals you need to level up your data skills. Through hands-on exercises, you’ll discover SQL basics, such as how to structure and query relational databases. As you progress, you’ll use these foundations to quickly summarize and join tables and use window functions and built-in PostgreSQL functions to analyze your data.By the time you finish this track, you’ll have a firm understanding of the SQL essentials and have the confidence to apply them to your own data sets. You’ll be able to start working on a variety of SQL projects and develop your data science portfolio.

Prerequisites

There are no prerequisites for this track
SQL Fundamentals
7 Courses
Track
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*4.7
from 98 reviews
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15%
2%
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2%
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FAQs

Is this Track suitable for beginners?

Yes, this Track is suitable for beginners. Through hands-on exercises, users will quickly gain the SQL fundamentals such as how to structure and query relational databases. By the time they finish this Track, they'll have a firm understanding of the SQL basics and have the confidence to apply them to their own data sets.

What is the programming language of this Track?

This Track teaches the fundamentals of SQL, which is a powerful language used by data-driven businesses, large and small, to explore and manipulate their data to extract meaningful insights.

Which jobs will benefit from this Track?

This Track will be beneficial to anyone working in a data-driven job, from developers to data analysts. It will provide the fundamental SQL skills required to interact with and query data. This Track will also help users prepare for a career in data science.

How will this Track prepare me for my career?

This Track will provide users with the fundamental knowledge of SQL and how to interact with and query data. Through hands-on exercises, users will gain an understanding of how to join tables, use window functions, and build their own SQL queries. Upon completion of the Track, users will be able to start working on a variety of SQL projects and develop their data science portfolios.

How long does it take to complete this Track?

Generally, the Track takes around 22 hours to complete as it consists of several courses that significantly upskill users. However, the Track is self-paced so users can spend as long or as little time as they like working through exercises and courses.

What's the difference between a skill track and a career track?

A skill track is used to upskill users in a particular domain or technology. These Tracks are designed for users who already have a certain level of experience and are looking to add more specialized skills to their knowledge base. A career track is a step-by-step guide designed to help users transition into a specific field or profession in data science.

What topics will be covered in this Track?

This Track will cover the basics of SQL such as data manipulation, structure and query of relational databases, use of window functions, working with PostgreSQL functions to analyze data, joining data, and summary stats in PostgreSQL.

What knowledge do I need to get started with this Track?

This Track is suitable for students with no prior knowledge of SQL. However, some basic programming skills and understanding of working with relational databases are recommended for optimal understanding and progress with the track.

Does DataCamp offer SQL Certification?

Yes. DataCamp's industry recognized Certifications include the SQL Associate Certification, designed to equip you with the essential skills and practical knowledge to work with SQL. In addition, DataCamp offers Data Analyst and Data Scientist Career Certifications.

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