sql certification online free

10 Best + Free Online SQL Courses

Data scientist jobs are in high demand for small to large businesses. It aids management in identifying market trends and facilitates decision-making. SQL plays an important role in data collecting and processing. It serves as a launching pad for getting knowledge in this sector.
Those interested in learning Structured Query Language can enroll in relevant courses, whether they are aspiring programmers or computer science, graduates. However, with so many possibilities, finding platforms with quality instruction can be challenging.
We’ve gathered a selection of the greatest online platforms for learning SQL that is both seamless and enriching for your convenience.

List of Free Online SQL Courses

1. Excel to MySQL: Analytic Techniques for Business by Duke University (Coursera)

This Specialization will teach you how to frame business problems in the form of data queries. Using powerful tools and methodologies like Excel, Tableau, and MySQL, you’ll analyze data, construct forecasts and models, build visualizations, and present your results. In the Capstone Project, you’ll apply your knowledge to analyze and justify improvements to a real-world business process.
The Capstone Initiative focuses on increasing revenue from residential real estate, and Airbnb, our Capstone’s official sponsor, helped to create the project. Airbnb connects homeowners with travelers and is the world’s largest marketplace for short-term rental transactions. The top ten Capstone students will be given the opportunity to submit their work to senior data scientists at Airbnb for instant feedback and discussion each year.

What You Will Learn –

  • Learn best practices for how to use data analytics to make any company more competitive and more profitable. You will be able to recognize the most critical business metrics and distinguish them from mere data.
  • Design and implement realistic predictive models based on data.
  • Learn how to become a master at communicating business-relevant implications of data analyses.
  • Learn how relational databases work, and how to use entity-relationship diagrams to display the structure of the data held within them.

Pre-requirements –

No prerequisites are needed.

Who can take this course –

This course is open to anyone who wants to learn more and make better use of their time.

Duration – 28 weeks approx

Instructor – Jana Schaich Borg, Daniel Egger

2. The Complete SQL Bootcamp (Udemy)

Instead of watching someone else code, this course puts you in command from the start by having you create and restore databases. Every segment has new challenging questions and assignments based on real-life circumstances and tasks.
One of the most in-demand skills is knowing how to utilize PostgreSQL to read and write sophisticated queries to a database. These abilities can be used with any major SQL database, such as MySQL, Microsoft SQL Server, Amazon Redshift, Oracle, and many more.
SQL is one of the most in-demand IT skills, thus studying it is one of the most efficient methods to advance your career. This course will assist you in learning quickly while also providing challenges and tests to aid in your comprehension!

What You Will Learn –

  • Use SQL to query a database.
  • Use SQL to perform data analysis.
  • Be comfortable putting SQL and PostgreSQL on their resume.
  • Learn to perform GROUP BY statements.
  • Replicate real-world situations and query reports.

Pre-requirements –

No prerequisites are needed.

Who can take this course –

This course is open to anyone who wants to learn more and make better use of their time.

Duration – 9 hours approx

Instructor – Jose Marcial Portilla 

3. SQL Certification for Data Science by UC Davis (Coursera)

The demand for people who are talented at using and dealing with data has expanded dramatically, as has the demand for people who can think critically and provide insights to assist businesses to make better decisions and optimize their operations. One of the abilities required of a professional data scientist is the ability to obtain and interact with data, and to do so, you must be proficient in SQL, the standard language for connecting with database systems.
This course will introduce you to the essentials of SQL and data manipulation, allowing you to begin analyzing data for data science applications. You’ll begin by asking the correct questions and providing sound responses that will aid your firm in gaining useful information. This course starts from the beginning, assuming you have no prior knowledge or expertise with SQL. It will expand on that foundation by forcing you to perform simple and sophisticated queries in order to select data from tables. You’ll start by dealing with strings and numbers, and you’ll learn how to filter and narrow down your results.

What You Will Learn –

  • Identify a subset of data needed from a column or set of columns and write a SQL query to limit to those results.
  • U​se SQL commands to filter, sort, and summarize data.
  • Create an analysis table from multiple queries using the Union operator.
  • Manipulate strings, dates, & numeric data using functions to integrate data from different sources into fields with the correct format for analysis.

Pre-requirements –

No prerequisites are needed.

Who can take this course –

This course is open to anyone who wants to learn more and make better use of their time.

Duration – 14 hours approx

Instructor – Sadie St. Lawrence 

4. Ultimate MySQL Bootcamp: From Beginner to Expert (Udemy)

This comprehensive course can teach you everything you need to know about MySQL if you’re unfamiliar with MySQL foundations or how to extract information from data. This Bootcamp course will expose you to a solid foundation in databases in an instructive and interesting manner. You’ll learn about the inputs and outputs of SQL syntax, how to analyze data using aggregate functions, how to build reports utilizing sales and user data, and much more. You will get the option to write your own code rather than simply watching the instructor develop it and explaining it to you.

What You Will Learn –

  • Create your own database or interact with existing databases.
  • Write complex SQL queries across multiple tables.
  • Build a web app using NodeJS and MySQL.
  • Model real-world data and generate reports using SQL.
  • Answer company performance or sales questions using data.

Pre-requirements –

No prerequisites are needed.

Who can take this course –

This course is open to anyone who wants to learn more and make better use of their time.

Duration – 20 hours approx

Instructor – Colt Steele, Ian Schoonover

5. Foundation of Big Data Analysis with SQL (Coursera)

In this course, you’ll acquire a large picture view of utilizing SQL for big data, starting with an overview of data, database systems, and the standard querying language (SQL). Then you’ll learn about the features of big data and how to use SQL tools to interact with big data platforms. In this setting, you’ll also build up an exercise environment (virtual computer) that you’ll use throughout the specialization courses, and you’ll get an opportunity to do some exploratory database and table research.

What You Will Learn –

  • Distinguish operational from analytic databases, and understand how these are applied in big data.
  • Understand how database and table design provides structures for working with data.
  • Appreciate how differences in volume and variety of data affects your choice of an appropriate database system.
  • Recognize the features and benefits of SQL dialects designed to work with big data systems for storage and analysis.

Pre-requirements –

No prerequisites are needed.

Who can take this course –

This course is open to anyone who wants to learn more and make better use of their time.

Duration – 12 hours approx

Instructor – Glynn Durham 

6. Structure Query Language Intro by University of Michigan (Coursera)

Installing a text editor, MAMP, or XAMPP (or an equivalent), and building a MySql database are all covered in this course. Single table queries, SQL syntax, database design with multiple tables, foreign keys, and the JOIN function will all be covered. Finally, you’ll learn how to leverage many-to-many relationships to represent users, roles, and courses.

What You Will Learn –

  • An introductory and comprehensive course that will provide you with all of the fundamental SQL concepts.
  • Understand the SQL language’s basic syntax and single-table queries, as well as how to create databases with multiple tables, foreign keys, and the JOIN operation.
  •  Understand how to represent users, roles, and courses as many-to-many relationships.

Pre-requirements –

No prerequisites are needed.

Who can take this course –

This course is open to anyone who wants to learn more and make better use of their time.

Duration – 16 hours approx

Instructor – Charles Severance 

7. Modern Big Data Analysis with SQL Certification (Coursera)

This Specialization teaches students how to use SQL to work with massive volumes of data.
You might be new to SQL and wish to brush up on the basics. Perhaps you’ve already used SQL on a smaller scale to query data in relational databases. In any event, this Specialization is for you if you want to learn how to query massive data using contemporary distributed SQL engines.
Most SQL classes focus on traditional relational databases, but today’s data grows too quickly and is too large to be stored efficiently in commercial data warehouses. Instead, data is increasingly being stored in dispersed clusters and cloud storage. These data storage systems are low-cost and infinitely expandable.
To query these huge datasets in clusters and cloud storage, you’ll need a new type of SQL engine: distributed query engines like Hive, Impala, Presto, and Drill. These are open-source SQL engines that are capable of querying large datasets. This Specialization focuses on the most extensively used query engines, Hive and Impala.

What You Will Learn –

  • Distinguish operational from analytic databases, and understand how these are applied in big data.
  • Understand how database and table design provides structures for working with data.
  • Appreciate how differences in volume and variety of data affects your choice of an appropriate database system.
  • Recognize the features and benefits of SQL dialects designed to work with big data systems for storage and analysis.

Pre-requirements –

No prerequisites are needed.

Who can take this course –

This course is open to anyone who wants to learn more and make better use of their time.

Duration – 12 weeks hours approx

Instructor – Ian Cook, Glynn Durham

8. MySQL for Data Analysis and Business Intelligence (Udemy)

Learning SQL is essential for anyone who wants to acquire a competitive edge in the work market. This Udemy course can assist you in learning and mastering all of the required SQL abilities. It’s more than just an overview; it’ll show you how to interact with a real-world database and explain why SQL is crucial for data analytics and business intelligence.

What You Will Learn –

  • Add data analytical tools to your skillset.
  • Develop business intuition while solving tasks with big data.
  • Study relational database management theory that you will need in your workplace every day.
  • Learn how to create a database from scratch.
  • The ability to take control of your dataset – insert, update, and delete records from your database.
  • Be confident while working with constraints and relating data tables.
  • Become a proficient MySQL Workbench user.
  • Handle complex SQL joins with ease.
  • Approach more advanced topics in programming like SQL’s triggers, sequences, local and global variables, indexes, and more.

Pre-requirements –

No prerequisites are needed.

Who can take this course –

This course is open to anyone who wants to learn more and make better use of their time.

Duration – 9.5 hours approx

Instructor – 362 Careers 

9. Database and SQL Certification for Data Science (Coursera)

A huge amount of the world’s data is stored in databases. The SQL (Structured Query Language) language is a strong tool for dealing with databases and obtaining information from them. You’ll need to know how to work with databases and SQL if you want to work as a data scientist.
The purpose of this course is to introduce you to relational database ideas and to help you acquire and apply core SQL skills. It’s also intended to assist you in learning how to use SQL in a data science scenario.
Hands-on learning is emphasized heavily in this course. You’ll be working with real databases, data science tools, and datasets as a result of this. You’ll create a database instance in the cloud. In a series of hands-on labs, you will practice designing and running SQL queries. You’ll also learn how to use Jupyter notebooks to access databases using SQL and Python.

What You Will Learn –

  • Create and access a database instance on the cloud.
  • Write basic SQL statements: CREATE, DROP, SELECT, INSERT, UPDATE, DELETE.
  • Filter, sort, group results, use built-in functions, access multiple tables.
  • Access databases from Jupyter using Python and work with real-world datasets.

Pre-requirements –

No prerequisites are needed.

Who can take this course –

This course is open to anyone who wants to learn more and make better use of their time.

Duration – 18 hours approx

Instructor – Rav Ahuja,Hima Vasudevan

10. Databases: Advanced Topics in SQL (Edx)

Relational Databases with SQL is the most popular course in the Databases series. It’s for students interested in learning about relational databases and mastering SQL, the widely used standard query language for relational database systems. Additional courses include advanced ideas in relational databases and SQL, formal foundations and database design approaches, and semistructured data. Databases are ubiquitous; they support technologies that most people utilize on a daily, if not hourly, basis. Databases are at the heart of many websites, as well as telecommunications systems, banking systems, video games, and almost any other software system or electrical device that keeps persistent data.

What You Will Learn –

  • Introduction to relational databases and relational database management systems, as well as the relational model and concepts.
  • SQL, the long-accepted standard query language for relational database management systems, is covered in depth.
  • Increasing query performance by creating indexes.
  • Concurrency control and failure recovery using transactions.
  • Constraints in the database include key, referential integrity, and “check” constraints.
  • Triggers in the database.
  • In relational databases, how views are created, used, and updated.

Pre-requirements –

No prerequisites are needed.

Who can take this course –

This course is open to anyone who wants to learn more and make better use of their time.

Duration – 2 weeks approx

Instructor – Jennifer Widom  

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