SQL Training

Even when learning a programming language, such as C#, Java, PHP, or JavaScript, you will still need familiarity with a database language to be able to get data in and out of a database. Usually this is SQL.

Here are some reasons why you should learn SQL.

All training providers listed below offer certification upon course completion.

Microsoft

• Offers professional, in-depth self-study guides to prepare for certification exams.
• Courses are specifically for SQL Server developers and administrators.
• Microsoft certifications are generally highly regarded in the industry

Codecademy

• Offers a free learning platform
• Does not allow skipping lessons or exercises without completing these correctly
• Provides courses for data manipulation, writing queries, aggregate functions, multiple tables, etc.

Udemy

• Includes a combination of text and videos to teach students
• Some training is free, others are paid. Also offers advanced classes

edX

• Provides free coding resources
• Courses are from reputable universities, such as MIT and Harvard

Khan Academy

• Offers a variety of classes ranging from easy to advanced SQL
• You get the vibe of a virtual classroom when learning SQL

Coursera

• Offers video training
• Includes international courses from top universities and companies

W3Schools

• Web pages with SQL content
• Good for beginner to intermediate learners
• Provides topic in short and concise manner with examples
• Ability to try and execute queries on your own

SQLZoo

• Web pages with interactive SQL content
• Has annoying advertisements hovering over the content
• Challenge your skills with quizes that are simple, intermediate, or hard

Next, we'll list some of the best SQL training courses.

The Complete SQL Bootcamp 2021: Go from Zero to Hero (Udemy)

A best-selling course for beginners in Udemy by Jose Portilla with 9-hour on demand video. Some of the topics covered in the course are as follows:

• PostgreSQL and PgAdmin
• Basic SQL Syntax
• Aggregate functions with GROUP BY commands
• Advanced queries with string operations, comparison operations and logical operators
• JOIN commands
• Creating tables and databases with constraints on data entries
• Using Python to further advance SQL skills

This course includes videos and coding exercises to complete. It also includes comprehensize assessments and no prior experience is required. Access from this link.

SQL Certification for Data Science by UCDavis (Coursera)

This course is offered by University of California, Davis on the Coursera platform and can be completed in 14 hours. It is one of the highly ranked SQL courses in this platform. The course covers some of the following topics:

• Basic SQL syntax and rules
• Different data types
• Methods to filter, sort and pare down your results
• Create and manage database tables
• Basic math operators and aggregate functions
• Common operators and how to combine the data
• Subqueries
• SQL Joins
• Data modification
• Case statements and concepts like data governance and profiling

This courses uses real-world data as programming assignments and does not require prior SQL experience to start. You may access this course from this link.

Introduction to Structured Query Language (SQL) by University of Michigan (Coursera)

University of Michigan, Dr. Charles Severance offers a beginner course for SQL using Coursera platform. This course takes 16 hours to complete and definitely one of the best SQL courses on the platform. It covers some of these topics:

• Installing a text editor
• Installing MAMP or XAMPP (or equivalent)
• Creating a database
• Basic syntax
• Data types
• Database keys and indexes
• Relational database design with multiple tables, normalization, foreign keys, and the JOIN operation
• Model many-to-many relationships like those needed to represent users, roles, and courses

This course is best for people who wants to know the fundamentals of SQL. It is a self-paced learning without fixed deadlines on activities. Access this course here.

Modern Big Data Analysis with SQL Specialization by Cloudera (Coursera)

This SQL certification program offered by Cloudera includes essential skills for large datasets. It can be completed in 4 months, 3 hours each week and has the following topics covered:

• Data, database systems, and SQL
• Databases and tables in a big data platform
• Features and benefits of SQL dialects
• SELECT statements
• How and why to filter results
• Grouping and aggregation to answer analytic questions
• Sorting and limiting results
• Combining multiple tables in different ways
• Different tools to browse existing databases and tables in big data systems
• Data types and file formats for big data.

This is the highest rated Coursera specialization for those people who strive to enhance or learn skills in Big Data. You can sign up on this course here.

Learn SQL – NanoDegree Program (Udacity)

This program in Udacity is good for data professionals in data science, IT, or data analytics field. It takes 2 months to complete considering a 10-hour a week. It covers the following topics:

• Core SQL commands to define, select, manipulate data
• Aggregate and join data and data tables
• Subqueries
• Window functions
• Advanced JOINs
• SQL queries optimization
• Building normalized, consistent, and performant relational data models
• DDL and DML
• Non-relational databases – MongoDB and Redis
• Tradeoffs between relational databases and their non-relational counterparts

Includes learning SQL and NoSQL both and a technical mentor to support your learning. Access this course in this link.

Databases and SQL for Data Science with Python by IBM (Coursera)

IBM offers this certification course in Coursera to teach data communication and extraction. The weekly module includes the following topics:

• Fundamental concepts behind databases, tables, and the relationships between them
• Basic SQL statements
• Using string patterns and ranges to search data
• Sort and group datasets
• Nested queries
• Accessing data from multiple tables
• Built-in functions
• Accessing databases using Python
• Advanced SQL techniques like views, transactions, stored procedures and joins

This course includes hands-on labs to practice SQL on live databases. It takes 19 hours to complete this course and can be accessed here.

Free SQL Courses Online (edX)

edX allows its learners to learn SQL with online courses from Harvard, MIT, Stanford, Michigan, and more. Here are some of the best SQL training courses from this platform:

• MicroBachelors Program in Introduction to Databases by New York University
• SQL for Data Science by IBM
• Databases: Modeling and Theory by Stanford Online
• Databases: Advanced Topics in SQL by Stanford Online
• Introduction to Data Analytics for Managers by University of Michigan
• MicroBachelors Program in Data Management with Python and SQL by Southern New Hampshire University

SQL courses in edX are made by top universities and institutions all over the world. It is a self-paced learning and you can sign up easily from here.

SQL Classes & Training (LinkedIn Learning)

LinkedIn Learning is a platform that offers SQL tutorials and classes. Some of the top topics from this platform are:

• SQL Essential Training, Bill Weinman
• Learning SQL Programming, Scott Simpson
• Programming Foundations: Databases, Scott Simpson
• Advanced SQL for Query Tuning and Performance Optimization, Dan Sullivan
• SQL: Data Reporting and Analysis, Emma Saunders
• Advanced SQL: Logical Query Processing, Ami Levin
• SQL Tips, Tricks, & Techniques, Ben Sullins
• Advanced SQL for Data Scientists, Dan Sullivan
• Designing Highly Scalable and Highly Available SQL Databases, Dan Sullivan
• SQL for Testers, Dave Westerveld
• SQL Analysis for Data Developers, Nikiya Simpson

LinkedIn offers well-designed SQL tutorials and allows self-paced learning. You can view these topics from this link.

Learn SQL Online (Codecademy)

Codecademy offers free SQL training with practical hands-on learning and these topics:

• Relational database concepts
• Table and Column constraints
• Basic SQL statements
• Essential query keywords and functionality
• Various aggregate functions
• Joins

The courses can be completed for at least 8 hours and can be access from here.

SQL Server Training & Courses Online (Pluralsight)

A self-paced learning platform that has series of SQL classes and lectures for beginner to advanced learners including:

• Introduction to SQL, Jon Flanders
• Introduction to SQL Server, Dan Sullivan
• Advanced SQL Queries in Oracle and SQL Server, Scott Hecht
• Ethical Hacking: SQL Injection, Troy Hunt
• SQL Server Fundamentals, Dan Sullivan
• Optimizing SQL Queries in Oracle, Scott Hecht
• SQL Server Business Intelligence Overview, Scott Allen
• PostgreSQL: Introduction to SQL Queries, Pinal Dave
• Azure SQL Database for the SQL Server DBA, Pluralsight

All courses include exercies and assessments to measure your skills. Get starting learning from this platform.

SQL Training Courses (Skillshare)

Offers more than 250 SQL courses for free. It includes a self-paced learning and offers these top SQL classes:

• SQL: Master SQL Database Queries in Just 90 Mins
• The Complete SQL Server For Beginners
• Microsoft SQL Fundamentals with real world demos
• SQL Server 101 : Microsoft SQL Server for Absolute Beginners
• SQL with Python in 90 minutes
• Business and Data Analysis with SQL
• Integrating SQL and Tableau with Real Life Practical Examples
• SQL & PostgreSQL: From beginner to pro

Access there free courses from this link.

Introduction to Databases and SQL (FutureLearn)

A free beginner SQL course by Raspberry Pi Foundation for Futurelearn platform. It can be completed in 3 weeks, 2 hours per week. This course includes some of these topics:

• Primary keys and table relationships
• Reading and modifying data
• Joins
• Grouping data
• Data export
• Data analytics

It require no prior experience and can be accessed freely for 5 weeks. It also has an option to include certification with additional small fee. You can sign up to this course from here.

• Our Sql Developer Reference
• Our Sql Certification Reference
• Our Sql Interview Questions Reference