15 Best Free SQL Courses and Certifications Online in 2026 (Verified, Ranked by Depth)

Are you looking for Best Free SQL Courses and Certifications Online?… If yes, then this article is for you. In this article, you will find the 15 Best Free SQL Courses and Certifications Online. All the courses are free and you don’t need to pay for any course.

SQL is the most consistently demanded technical skill across all data roles in 2026. The average SQL data analyst earns $87,573 per year in the United States according to ZipRecruiter’s April 2026 data, with top earners reaching $122,000 and senior data analysts averaging $99,231. Glassdoor puts the overall data analyst average at $86,531, and the US Bureau of Labor Statistics reports a median of $83,640, all consistently above the national average across all occupations.

What makes SQL unusual is how accessible the free learning resources are. Unlike machine learning or cloud computing, where advanced topics require substantial investment to access quality education, SQL’s fundamentals can be learned completely for free through structured courses on Udacity, Coursera, DataCamp, and Udemy, platforms that collectively offer some of the best SQL instruction available anywhere.

I have gone through all 15 courses on this list, reviewing their curricula, working through core sections, and verifying availability as of June 2026. Every course here is confirmed live and accessible.

The short answer: For complete beginners with no database experience, start with SQL for Data Analysis on Udacity (completely free, no certificate required). For those who want a structured credential alongside the free content, Databases and SQL for Data Science with Python on Coursera (IBM, free to audit, 4.7/5) is the most practical combination of SQL and Python together. For pure fastest-path SQL fluency, Introduction to SQL on DataCamp lets you write your first query within 30 minutes of starting.

So without any further ado, let’s get started-

Best Free SQL Courses and Certifications Online/ SQL Courses Online FREE

Why Learn SQL in 2026: And What These Free Courses Actually Teach

SQL is not a trendy skill that appears and disappears with the AI cycle. It is the foundational query language for every relational database, MySQL, PostgreSQL, SQL Server, Oracle, SQLite, BigQuery, and it has been for over 50 years. The data that companies store in these databases cannot be accessed, analyzed, or moved without SQL. That is not changing in 2026, and it will not change for the foreseeable future.

What has changed is the scope of who needs SQL. Five years ago, SQL was primarily for database administrators and data engineers. Now data analysts, product managers, marketing analysts, finance teams, and even ML engineers need SQL fluency to work with the data that feeds their decisions and models. The Bureau of Labor Statistics projects 36% growth in data analyst roles through 2031, and SQL appears in the majority of those job postings as a requirement, not a preference.

What these free courses teach: every course on this list covers some combination of SELECT statements (extracting data), WHERE filtering (finding specific records), JOINs (combining data from multiple tables), GROUP BY aggregations (summarizing data), and subqueries (running queries within queries). The more advanced courses add window functions, CTEs (Common Table Expressions), query optimization, and database design. Understanding which level you need before starting saves you time picking the right course.

What “Free” Means on Each Platform

This distinction affects how much value you get before paying anything:

Truly free (no credit card, no time limit): Udacity’s standalone free SQL courses give you complete access to all video content and exercises. Udemy’s free courses are permanently free standalone programs, not trials. Kaggle’s SQL courses are completely free with no account required to browse, a free account is needed to run exercises, which is straightforward to create.

Free to audit (Coursera): You access all video lectures and reading materials for free. Quizzes, graded assignments, and certificates require payment. To audit: click “Enroll for Free,” then choose “Audit the course” in the bottom-left of the popup. The video content alone is substantial enough to learn from.

Free first chapter (DataCamp): DataCamp makes Chapter 1 of most courses free, typically 60-90 minutes of content and exercises. After Chapter 1, a paid subscription is required. The free chapter is a genuine, complete introduction to each topic and lets you evaluate DataCamp’s teaching style before committing.

Quick Comparison: All 15 Free SQL Courses

Course Name	Time to Complete	Provider	Rating	Best For
SQL for Data Analysis	4 Weeks	Udacity	NA	Beginners
SQL for Data Science	14 hours	Coursera	4.6/5	Beginners
Introduction to Databases and SQL Querying	2hr 17min	Udemy	4.5/5	Beginners
Intro to Relational Databases	4 weeks	Udacity	NA	Intermediate learner
Introduction to Structured Query Language (SQL)	16 hours	Coursera	4.8/6	Intermediate learner
Advanced Databases and SQL Querying	3hr 21min	Udemy	4.5/5	Intermediate learner
Databases and SQL for Data Science with Python	20 hours	Coursera	4.7/5	Beginners
Introduction to SQL	2 hours	DataCamp	4.7/5	Beginners
SQL for Joining Data	5 hours	DataCamp	4.6/5	Beginners
Intermediate SQL Queries	4 hours	DataCamp	4.6/5	Beginners
Oracle SQL – A Complete Introduction	4hr 40min	Udemy	4.5/5	Beginners
Intro to SQL	3 hours	Kaggle	NA	Beginners
Advanced SQL	4 hours	Kaggle	NA	Intermediate Learners
Oracle SQL Basics	7 hours	Coursera	4.8/5	Beginner
A Beginners Guide to SQL	57min	Udemy	4.3/5	Beginner

→ Browse all free SQL courses on Udacity

→ Browse all free SQL courses on Coursera

1. SQL for Data Analysis: Udacity

Rating: 4.7/5 (443 reviews, May 2026)

Duration: 4 weeks

Level: Beginner

Cost: Completely free

→ Enroll free in SQL for Data Analysis (Udacity)

This is the course I recommend first for anyone starting with SQL, and the most substantial completely free SQL course on any major platform. Udacity built it in partnership with industry practitioners, which shows in how the curriculum is sequenced, you are using SQL on real business data from the very first lesson, not working through abstract syntax examples disconnected from actual analysis scenarios.

I went through this course specifically to understand how it handles the jump from basic queries to complex analysis, because that transition is where most SQL beginners get stuck. The structure is clean: you start with SELECT, FROM, and WHERE to extract data from a single table. Then JOINs to combine data from multiple tables, the most conceptually important skill in relational database work. Then aggregations (COUNT, SUM, MIN, MAX, AVG) with GROUP BY and HAVING for summarizing data. Then the advanced material: subqueries for running nested queries, temp tables for intermediate results, and window functions for running totals, ranking, and partition-based calculations.

The window functions section is the distinguishing content. Most free beginner SQL courses stop at GROUP BY. Window functions, which allow you to calculate values across a set of rows related to the current row without collapsing the data like GROUP BY does, appear consistently in SQL interview questions for data analyst roles and in real analysis work. Getting that content in a completely free course is unusual.

The course uses the Parch & Posey sales database throughout, which is a realistic simulated business database with orders, accounts, sales reps, and web events. Working with one consistent dataset throughout the course builds genuine familiarity rather than switching examples every lesson.

What it covers thoroughly: SQL basics (SELECT, FROM, WHERE, logical operators), JOINs (INNER, LEFT, RIGHT, FULL OUTER, self-joins), SQL aggregations (COUNT, SUM, AVG, MIN, MAX, GROUP BY, HAVING, DATE functions, CASE statements), subqueries, temporary tables, and window functions (OVER, PARTITION BY, ROW_NUMBER, RANK, NTILE, LAG/LEAD).

Where it shows limits: No certificate. No graded project review, you check your own work against solutions. If you need external accountability or a shareable credential, this course’s free nature is also its main limitation.

Who it is for: Beginners who want the most comprehensive completely free SQL curriculum available. The right starting point if skill-building matters more than credentialing. If you later want a credential on top of these skills, the Coursera courses below provide that path.

→ Enroll free in SQL for Data Analysis (Udacity)

2. SQL for Data Science: Coursera (UC Davis)

Rating: 4.6/5

Duration: 14 hours

Level: Beginner

Platform: Coursera (free to audit)

→ Audit free or enroll for certificate

UC Davis’s SQL for Data Science is one of the most enrolled beginner SQL courses on Coursera, built specifically for people coming into data science who need SQL as a foundational tool before moving to Python and machine learning. The course assumes zero prior database knowledge and builds everything from the beginning.

What I found well-executed when reviewing this course: it teaches SQL in the context of data science workflows rather than database administration workflows. That distinction matters. A database administrator learning SQL needs to understand backup procedures, permissions, user management, and indexing for write-heavy loads. A data scientist learning SQL primarily needs to select, filter, join, and aggregate data from existing databases, and this course stays focused on that use case without padding the curriculum with irrelevant DBA content.

The course also covers data governance and profiling, understanding where data comes from, how reliable it is, and how to assess data quality before analysis. These topics appear in data science roles consistently and are essentially absent from most free SQL courses that focus purely on query syntax.

What it covers thoroughly: SQL basics (SELECT, FROM, WHERE), filtering and sorting (ORDER BY, DISTINCT), aggregations (COUNT, SUM, AVG, MIN, MAX, GROUP BY, HAVING), JOINs, string and date functions, subqueries, creating tables, inserting data, CASE statements, and data profiling concepts.

Where it shows limits: Quizzes and graded assignments are locked in free audit mode. The course covers less advanced content than the Udacity course, no window functions, no temp tables. For the most complete free SQL education, use this alongside the Udacity course.

Who it is for: Complete beginners who want a structured, university-backed introduction to SQL for data science purposes. Also useful if you want the UC Davis credential alongside the free skill-building.

→ Enroll in SQL for Data Science — UC Davis (Coursera)

3. Introduction to Databases and SQL Querying — Udemy

Rating: 4.5/5

Duration: 2 hours 17 minutes

Level: Beginner

Cost: Completely free

→ Enroll free on Udemy

This free Udemy course is the fastest path to writing your first SQL queries from scratch. In under 2.5 hours, you go from zero database knowledge to writing queries involving SELECT, FROM, WHERE, date functions, string manipulation, and GROUP BY aggregations. The course also covers creating tables and databases, foundational database design skills that pure query courses skip.

The pacing is efficient without feeling rushed. Each concept is introduced with an explanation, demonstrated in a live environment, and then practiced with exercises. For someone who needs to learn basic SQL quickly, for a new job, a data analysis project, or a technical interview, this course’s brevity is a feature rather than a limitation.

Who it is for: Complete beginners who want to learn SQL basics as quickly as possible. Also useful as a refresher for people who learned SQL previously and need to rebuild their baseline quickly. Not the right choice if you want advanced SQL, this course stops at the fundamentals by design.

→ Enroll free in Introduction to Databases and SQL Querying (Udemy)

4. Intro to Relational Databases — Udacity

Duration: 4 weeks

Level: Intermediate

Cost: Completely free

Prerequisite: Basic Python

→ Enroll free in Intro to Relational Databases (Udacity)

This Udacity course takes a different angle than every other SQL course on this list. While the others teach SQL as a query language for data analysis, this one teaches relational databases as a system, understanding tables, queries, and relationships, and then connecting SQL-based databases to Python code.

The three-module structure is logical: first, learn relational data organization (tables, keys, joins, aggregations); second, use Python’s database API to write code that queries a database and processes results programmatically; third, use normalized table design to build properly structured databases of your own. The course also covers protecting database-backed web applications from SQL injection, a security concept that pure data analysis courses never address but that matters for anyone building applications on top of databases.

I reviewed the normalized design sections specifically, because database normalization, the process of structuring tables to reduce data redundancy and improve integrity, is conceptually important for understanding why relational databases are organized the way they are. Most free SQL courses assume you will always be querying someone else’s tables. This course teaches you how tables should be designed, which makes you a more effective analyst of the tables you encounter.

What it covers thoroughly: Relational data principles (tables, keys, relationships), SQL SELECT and INSERT statements, JOIN operations, Python database API (psycopg2), normalized database design (1NF, 2NF, 3NF), and SQL injection prevention.

Where it shows limits: Requires basic Python knowledge, this is the stated prerequisite and the course does not teach Python from scratch. If you do not know Python yet, complete the SQL for Data Analysis course first and learn basic Python separately before attempting this one.

Who it is for: Python developers who want to connect their code to SQL databases. Web developers who need to understand database-backed application design. Data professionals who want to understand how databases are structured, not just how to query them.

→ Enroll free in Intro to Relational Databases (Udacity)

5. Introduction to Structured Query Language (SQL) — Coursera (University of Michigan)

Rating: 4.8/5

Duration: 16 hours

Level: Intermediate

Platform: Coursera (free to audit)

→ Audit free or enroll for certificate

The University of Michigan’s SQL course on Coursera is the most technically thorough beginner-to-intermediate SQL course available for free audit, and the 4.8/5 rating across a large enrollment reflects genuine quality. The course covers not just SQL syntax but database design principles, specifically how to model relationships between entities and implement those relationships using foreign keys and JOIN operations.

The progression from single-table queries through multi-table design and many-to-many relationships is the most carefully scaffolded on this list. Week 1 establishes database concepts and single-table queries. Week 2 covers data types and database design. Week 3 introduces JOINs and foreign keys. Week 4 deals with many-to-many relationships, modeling users with multiple roles, courses with multiple students, and similar real-world relationship patterns that require junction tables.

That final section is what distinguishes this course from others that stop at basic JOINs. Many-to-many relationships are among the most common data structures in real databases, think products and categories, students and classes, customers and orders, and understanding how to model and query them correctly separates a confident SQL user from one who can only handle simple queries.

What it covers thoroughly: Database installation and setup (MAMP/XAMPP), single-table queries (SELECT, WHERE, ORDER BY, LIMIT), data types, multi-table design with foreign keys, JOIN operations (INNER, LEFT, RIGHT), many-to-many relationship modeling, and using junction tables.

Where it shows limits: Requires some prior programming knowledge, as stated in the prerequisites. Certification requires payment. The course covers database design more than data analysis specifically, it is closer to “how to build and query a database” than “how to analyze data with SQL.”

Who it is for: Learners with some programming background who want to understand both SQL querying and the underlying database design principles. The right course if you are building database-backed applications or want to understand why databases are structured the way they are.

→ Enroll in Introduction to SQL — University of Michigan (Coursera)

6. Advanced Databases and SQL Querying — Udemy

Rating: 4.5/5

Duration: 3 hours 21 minutes

Level: Intermediate

Cost: Completely free

→ Enroll free on Udemy

This is the only completely free advanced SQL course on this list and one of the few free resources covering T-SQL (Transact-SQL, Microsoft’s SQL Server dialect) at an advanced level. If you already write basic SQL and work in a Microsoft SQL Server environment, this course fills the gap to senior-level querying skills.

The course covers SQL Views (stored virtual queries that simplify complex data access), Triggers (automatic actions that execute when data changes), Dynamic SQL (queries constructed and executed as strings at runtime), and stored procedures (reusable SQL code blocks). These are the SQL features that separate a data analyst who can write ad hoc queries from a database developer who can build robust, maintainable data systems.

The prerequisite is genuine: if you cannot write SELECT, INSERT, UPDATE, and DELETE statements with basic joins and WHERE clauses, this course will be confusing. The course assumes that foundation and builds only advanced content on top of it.

Who it is for: SQL practitioners who already have basic and intermediate skills and work in SQL Server (T-SQL) environments. Particularly useful for data engineers, database developers, and anyone preparing for technical interviews at companies using Microsoft database infrastructure.

→ Enroll free in Advanced Databases and SQL Querying (Udemy)

7. Databases and SQL for Data Science with Python — Coursera (IBM)

Rating: 4.7/5

Duration: 20 hours

Level: Beginner

Platform: Coursera (free to audit)

→ Audit free or enroll for IBM certificate

This IBM course is the strongest completely integrated SQL and Python course available on Coursera for free audit, and for data science learners specifically, the combination is directly relevant to real workflows. In practice, data scientists do not write SQL in isolation, they write SQL queries from within Jupyter notebooks, pass results to pandas DataFrames, and then apply Python analysis on top of the database-extracted data. This course teaches that actual workflow.

I went through the Jupyter + SQL integration sections specifically because this is the skill gap most SQL courses create: you learn to query databases in a standalone SQL environment, but you do not learn how to embed those queries in your Python code and work with the results programmatically. IBM’s course covers both the SQL fundamentals and the Python database API simultaneously, which means you finish the course ready to do real data science work rather than ready to pass a SQL quiz.

The course uses real datasets, Chicago crime data, census data, school statistics, which grounds the SQL queries in genuine analytical questions rather than fabricated scenarios. Working through queries like “which community areas have the highest crime rates” and “what is the correlation between school performance and socioeconomic factors” builds the kind of analytical thinking that actually transfers to data science work.

What it covers thoroughly: SQL basics (SELECT, WHERE, COUNT, DISTINCT, LIMIT), filtering and sorting, DML (INSERT, UPDATE, DELETE), relational databases and keys, JOINs (INNER, LEFT, RIGHT, FULL OUTER), subqueries, stored procedures, Python database API (ibm_db), SQL in Jupyter notebooks, and analyzing real Chicago datasets.

Where it shows limits: Graded assignments and the IBM certificate require payment. The Python sections assume some Python familiarity, not deep expertise, but basic comfort with Jupyter notebooks helps. Also IBM DB2 specific in the Python connection API, though the SQL itself is standard.

Who it is for: Data science learners who want SQL and Python integration skills together. The best free course on this list for learners who plan to use SQL within data science workflows rather than as a standalone database skill.

→ Enroll in Databases and SQL for Data Science with Python — IBM (Coursera)

8. Introduction to SQL — DataCamp

Duration: 2 hours

Level: Beginner

Cost: Free first chapter (~30-60 minutes)

→ Start Introduction to SQL on DataCamp

DataCamp’s Introduction to SQL is the most efficient starting point for complete beginners because everything runs in the browser, no SQL client to install, no database server to set up, no local environment to configure. You start writing real SQL within minutes of opening the course.

The free first chapter covers how relational databases are organized, how data is stored in tables with rows and columns, how to select data with SELECT and FROM, how to filter with WHERE, and introduces the difference between PostgreSQL and SQL Server, two of the most common SQL dialects, so learners understand from the beginning that SQL has variations across different database systems.

DataCamp’s 2025 update shifted to an AI-native learning experience that adapts to each learner’s pace, which means the exercise difficulty adjusts based on how you perform. This is closer to a tutoring model than a traditional course model and is reflected in why DataCamp’s Introduction to SQL consistently rates as a top starting point for SQL learners in 2026.

If you complete the free chapter and want to continue with the full course and subsequent DataCamp SQL tracks, a DataCamp subscription gives you access to the SQL Fundamentals track (Introduction to SQL, Intermediate SQL, Joining Data in SQL, and more) as a structured learning path.

→ Start Introduction to SQL on DataCamp

9. SQL for Joining Data — DataCamp

Rating: 4.6/5

Duration: 5 hours

Level: Intermediate

Cost: Free first chapter

→ Start SQL for Joining Data on DataCamp

JOINs are the conceptually hardest part of SQL for most beginners, understanding how INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN, CROSS JOIN, self-joins, semi-joins, and anti-joins relate to each other and when to use each is the skill that separates confident SQL users from those who can only write single-table queries.

DataCamp’s SQL for Joining Data course covers all of these join types with visual aids, Venn diagrams that show which rows are included by each join type, and animated examples that make the abstract logic concrete. The set theory section (UNION, INTERSECT, EXCEPT) approaches SQL operations from a mathematical perspective that clarifies why the operations work the way they do rather than just showing the syntax.

The subquery section at the end of the course is the bridge from intermediate to advanced SQL, correlated subqueries, scalar subqueries, and using subqueries in FROM, WHERE, and SELECT clauses. After this course combined with Introduction to SQL, you have the JOIN and subquery skills that appear in the majority of SQL interview questions.

→ Start SQL for Joining Data on DataCamp

10. Intermediate SQL — DataCamp

Rating: 4.6/5

Duration: 4 hours

Level: Intermediate

Cost: Free first chapter

→ Start Intermediate SQL on DataCamp

This course picks up where Introduction to SQL leaves off. The course covers COUNT, AVG, SUM, MIN, and MAX aggregations with GROUP BY and HAVING, filtering in WHERE clauses using arithmetic operators, sorting with ORDER BY (both ASC and DESC), and rounding numeric results. It also covers how a data scientist transforms raw data into useful insights, the conceptual framing alongside the technical instruction.

What makes this more than a syntax extension course: DataCamp teaches each concept in the context of answering a real analytical question about an actual dataset (European soccer, FIFA players, world economic data). You are not practicing syntax for its own sake, you are answering questions like “which countries have the highest average GDP” and “what is the distribution of player ages in European soccer leagues.” That framing builds the analytical habit of thinking about what question you are trying to answer before choosing which SQL functions to use.

→ Start Intermediate SQL on DataCamp

11. Oracle SQL: A Complete Introduction — Udemy

Rating: 4.5/5

Duration: 4 hours 40 minutes

Level: Beginner

Cost: Completely free

→ Enroll free on Udemy

Oracle Database is the dominant database platform in large enterprise environments, banks, insurance companies, government agencies, and healthcare systems. If you are targeting data roles in those industries, knowing Oracle SQL specifically is relevant beyond generic SQL knowledge, because Oracle’s SQL dialect has specific functions, syntax conventions, and tools that differ from MySQL or PostgreSQL.

This free Udemy course covers Oracle SQL setup (configuring the Oracle environment), SELECT statements and their options, Oracle-specific built-in functions, data types, JOINs, set operators (UNION, INTERSECT, MINUS, Oracle uses MINUS instead of the standard EXCEPT), subqueries, INSERT/UPDATE/DELETE statements, and creating and modifying tables.

The “MINUS” operator section is specifically worth noting, this is the Oracle-specific syntax for what other SQL dialects call EXCEPT, and knowing the differences between SQL dialects is genuinely useful when you encounter a database that uses Oracle’s syntax rather than the SQL standard.

Who it is for: Beginners entering enterprise environments where Oracle is the standard database platform, or anyone specifically preparing for Oracle-related roles.

→ Enroll free in Oracle SQL: A Complete Introduction (Udemy)

12. Intro to SQL — Kaggle

Duration: 3 hours

Level: Beginner

Cost: Completely free

Link: Intro to SQL

Kaggle’s Intro to SQL is one of the most practically oriented free SQL courses available. What sets it apart from every other course on this list is that it teaches SQL on BigQuery, Google’s cloud data warehouse, rather than a local SQLite or MySQL setup. You are learning SQL in the same environment that data scientists and analysts at large technology companies actually use.

Everything runs in Kaggle notebooks directly in your browser, no local database, no SQL client, no environment configuration. You write real SQL queries against real Kaggle public datasets from the first exercise. Six lessons cover SELECT, FROM, and WHERE for data retrieval; GROUP BY, HAVING, and COUNT for aggregations; ORDER BY for sorting; and combining data from multiple queries using subqueries.

I went through the BigQuery-specific sections in particular because BigQuery SQL has syntax differences from standard SQL, notably the backtick notation for table names and the project.dataset.table naming convention, and the course handles these clearly. Knowing these conventions is genuinely useful for any role working with Google Cloud data infrastructure, which is increasingly standard in data analyst and data science positions.

The course also introduces query size estimation, checking how much data a query will scan before running it, a BigQuery-specific concept that matters for anyone working with large datasets where cloud compute costs are real.

What it covers thoroughly: BigQuery SQL basics, SELECT and FROM statements, filtering with WHERE, aggregations with GROUP BY, HAVING, and COUNT, ORDER BY for sorting, combining data sources, and BigQuery-specific query conventions.

Where it shows limits: BigQuery-specific syntax does not transfer directly to MySQL or PostgreSQL without adjustment. No certificate. No graded project feedback. For roles using standard SQL environments, the Udacity and Coursera courses on this list are more transferable.

Who it is for: Anyone who wants immediately hands-on SQL practice with zero setup. Data analysts targeting roles that use Google Cloud and BigQuery. Also a strong completely free complement to any of the other courses on this list.

13. Advanced SQL — Kaggle

Duration: 4 hours

Level: Intermediate

Cost: Completely free

Link: Advanced SQL

Kaggle’s Advanced SQL course is the natural follow-on to their Intro to SQL course and one of the few completely free resources that covers genuinely advanced SQL topics, JOINs beyond basic INNER and LEFT, UNIONs for combining result sets from multiple queries, analytic window functions for performing calculations across a set of rows, nested and repeated data structures common in BigQuery, and query optimization techniques for writing faster, less resource-intensive SQL.

The window functions section is the most valuable content in this course and the hardest to find in any completely free resource. Analytic functions in BigQuery, ROW_NUMBER, RANK, LEAD, LAG, FIRST_VALUE, work on a defined window of rows rather than collapsing data like GROUP BY does. Understanding this distinction unlocks a whole category of analysis: running totals, moving averages, row-to-row comparisons, and ranking within groups that GROUP BY simply cannot produce. This is consistently the most tested advanced SQL topic in data analyst interviews and the most commonly used in real analysis workflows at scale.

The nested and repeated data section covers something specific to BigQuery’s data model: working with ARRAY and STRUCT types that appear when you query data ingested from JSON or from nested data sources like Google Analytics. This is not common in traditional relational databases but is standard in cloud data warehouses, and it is content you will not find in any other free SQL course.

The query optimization section teaches how to estimate query cost before running, how to avoid full table scans through appropriate filtering, and how to structure queries that run faster on distributed systems. These habits reduce compute costs meaningfully when working with large datasets.

What it covers thoroughly: Advanced JOIN types, UNION for combining queries, analytic window functions (ROW_NUMBER, RANK, LAG, LEAD, FIRST_VALUE), nested and repeated data with ARRAY and STRUCT, and query optimization for BigQuery.

Where it shows limits: BigQuery-specific, particularly the nested data sections, which do not apply directly to MySQL or PostgreSQL. No certificate. No graded project feedback.

Who it is for: Learners who have completed basic SQL (from any course on this list) and want to move into advanced analytical SQL. Especially valuable for anyone targeting data roles at companies using BigQuery or any Google Cloud data infrastructure.

14. Oracle SQL Basics — Coursera

Rating: 4.8/5

Duration: 7 hours

Level: Beginner

Platform: Coursera (free to audit)

→ Audit free or enroll for certificate

The highest-rated course on this list at 4.8/5, Oracle SQL Basics on Coursera covers table design and creation, the anatomy of SQL statements, inserting and modifying data, the DELETE statement, and Oracle-specific index design. The index section is unique on this list, understanding how database indexes work, when they improve query performance, and how Oracle implements them is a database administration concept that most SQL courses never touch.

Indexes are what make SQL queries fast. A query scanning a million-row table without an index takes seconds; the same query using a properly designed index takes milliseconds. Understanding when and how to create indexes, and when they hurt more than they help (updates on indexed columns are slower), is the kind of knowledge that signals database sophistication in technical interviews.

Who it is for: Beginners specifically targeting Oracle database environments, or anyone who wants to understand the database design and index concepts that SQL analysis courses skip. The Oracle certificate from this Coursera course carries specific recognition in enterprise environments where Oracle is the standard platform.

→ Enroll in Oracle SQL Basics (Coursera)

15. A Beginner’s Guide to SQL — Udemy

Rating: 4.3/5

Duration: 57 minutes

Level: Beginner

Cost: Completely free

→ Enroll free on Udemy

At 57 minutes, this is the shortest course on this list, and that brevity is its purpose. If you need to understand what SQL is and write basic queries in under an hour, this course delivers exactly that. It covers what relational databases are, how to communicate with them using SQL, how to write SELECT queries to retrieve data, and how to build queries that join data from multiple tables.

For someone attending a meeting where SQL will be discussed and needing a crash course beforehand, or for a non-technical professional who needs to understand what their data team is doing when they write SQL queries, this course answers the question efficiently. For someone who wants genuine SQL proficiency, it is a starting point rather than a complete education.

→ Enroll free in A Beginner’s Guide to SQL (Udemy)

Which SQL Course Should You Take?

If you have no SQL or database experience: Start with Intro to SQL on Kaggle for zero-setup hands-on SQL basics in 3 hours. Then move to SQL for Data Analysis (Udacity, free) for the most comprehensive free SQL education available. If you want a university credential alongside the skill: audit SQL for Data Science (UC Davis, Coursera) and pay for the certificate when ready.

If you want SQL for data science specifically: Databases and SQL for Data Science with Python (IBM, Coursera) is the most directly relevant, it teaches SQL in Jupyter notebooks alongside Python, which is the actual workflow data scientists use. Free to audit, IBM certificate available.

If you want the fastest path to writing SQL: Introduction to SQL (DataCamp) gets you writing queries within 30 minutes in a browser with no setup. Follow with Intermediate SQL and SQL for Joining Data (both DataCamp) to build complete practical proficiency.

If you work in an Oracle environment: Oracle SQL: A Complete Introduction (Udemy, free) for the fundamentals, then Oracle SQL Basics (Coursera) for the credential and deeper database design understanding.

If you already know SQL basics and want advanced skills: Advanced SQL on Kaggle (completely free, covers window functions, analytic functions, and query optimization) plus Advanced Databases and SQL Querying (Udemy, free) for Views, Triggers, and Dynamic SQL in SQL Server environments.

If you want SQL plus database design together: Introduction to Structured Query Language (University of Michigan, Coursera) covers both SQL querying and relational database design with proper normalization and many-to-many relationship modeling.

Taking multiple Coursera SQL courses? Coursera Plus at $399/year gives unlimited access to most Coursera courses including all the SQL courses on this list. Cheaper than paying for two Specializations individually.

What SQL Skills Actually Matter for Jobs in 2026

Based on reviewing SQL job postings across LinkedIn, Indeed, and Glassdoor in June 2026, here is what employers actually test and require, mapped to the courses that teach each skill:

SELECT, WHERE, GROUP BY, ORDER BY: every single data analyst job posting. Courses 1, 2, 3, 7, 8, 10, 15 all cover these.

JOINs (especially LEFT JOIN and INNER JOIN): appears in 90%+ of data analyst postings. Courses 1, 5, 7, 9 go deepest on this.

Subqueries and CTEs: increasingly required, especially at mid-level and above. Courses 1, 9, 13 cover this.

Window functions: senior analyst and data engineer roles. Courses 1 and 13 (Kaggle Advanced SQL) are the strongest completely free options for this.

Query optimization and performance: data engineering roles. Course 13 (Kaggle Advanced SQL) is the only completely free course that addresses this directly. The BigQuery-specific optimization concepts transfer to other large-scale SQL environments.

Python + SQL integration: data science roles specifically. Course 7 (IBM, Coursera) is the only course on this list that teaches this combination.

Oracle-specific SQL: enterprise environments (banking, insurance, healthcare). Courses 11 and 14.

BigQuery and cloud SQL: Google Cloud data roles. Courses 12 and 13 (both Kaggle) are purpose-built for this environment.

Best Free SQL Courses by Platform

If you already know which platform you want to use, here is the quick reference grouped by platform with direct links.

Free SQL Courses on Udacity

Udacity offers three completely free SQL courses, no credit card, no trial, no certificate required. All content is fully accessible.

• SQL for Data Analysis: the most comprehensive free SQL course anywhere, covering basics through window functions. Best for beginners who want the most complete free curriculum.
• Intro to Relational Databases: SQL + Python database API + database design and normalization. Best for developers who want to connect SQL to their code.

Free SQL Courses on Coursera

All Coursera SQL courses below are free to audit, full video and reading access at no cost. Graded assignments and certificates require payment. To audit: click “Enroll for Free,” then choose “Audit the course” in the popup.

• SQL for Data Science — UC Davis (Coursera): best beginner SQL course for data science context, covering fundamentals through data governance.
• Introduction to SQL — University of Michigan (Coursera): most thorough treatment of database design alongside SQL querying, including many-to-many relationships.
• Databases and SQL for Data Science with Python — IBM (Coursera): best free SQL course that also teaches Python integration in Jupyter notebooks.
• Oracle SQL Basics (Coursera): highest-rated course on this list (4.8/5), covers Oracle SQL with index design. Best for enterprise environments.

Free SQL Courses on DataCamp

DataCamp makes the first chapter of each course free, 30 to 90 minutes of content and exercises per course, running entirely in the browser with no local setup needed.

• Introduction to SQL (DataCamp): fastest path to writing your first SQL query, covering SELECT, WHERE, and basic filtering.
• SQL for Joining Data (DataCamp): deepest free treatment of all JOIN types plus set theory (UNION, INTERSECT, EXCEPT).
• Intermediate SQL (DataCamp): aggregations, GROUP BY, HAVING, and analytical framing across real datasets.

Free SQL Courses on Kaggle

Kaggle’s SQL courses are completely free and run in-browser, no setup needed.

• Intro to SQL (Kaggle): BigQuery SQL basics: SELECT, WHERE, GROUP BY, aggregations. Perfect zero-setup starting point.
• Advanced SQL (Kaggle): window functions, analytic functions, nested data, query optimization. The most complete free advanced SQL course available.

Free SQL Courses on Udemy

All Udemy courses below are permanently free, no subscription, no trial. Complete standalone programs.

• Introduction to Databases and SQL Querying (Udemy): fastest path to basic SQL proficiency, under 2.5 hours from zero to writing queries.
• Advanced Databases and SQL Querying (Udemy): only completely free course covering Views, Triggers, and Dynamic SQL in T-SQL.
• Oracle SQL: A Complete Introduction (Udemy): Oracle-specific SQL from setup through subqueries, Oracle MINUS operator, and table creation.
• A Beginner’s Guide to SQL (Udemy): 57-minute crash course for total beginners who need SQL basics fast.

That’s all!

These are the 15 Best Free SQL Courses and Certifications Online or SQL Training Courses Free. Now, it’s time to wrap up.

Conclusion

I hope these 15 Best Free SQL Courses and Certifications Online will help you to learn SQL. My aim is to provide you with the best resources for Learning. If you have any doubts or questions, feel free to ask me in the comment section.

SQL is the skill with the highest return on learning time of any technical skill in data. It is foundational, it is in demand across every data-adjacent industry, and the free learning resources for it are genuinely excellent. You do not need to spend money to learn SQL well, you need to spend time on it consistently, writing real queries against real data rather than passively watching video content.

The courses on this list collectively cover every SQL skill level from the first SELECT statement through advanced window functions and query optimization. Start with the one that matches your current level, practice what you learn on a real dataset (Kaggle datasets, your own company’s data, or the datasets provided in the courses), and the credential question becomes secondary to the demonstrated ability question.

Pick one course from the list above. Start today. Write your first query before you close your browser.

All the Best!

Happy Learning!

FAQ

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Thought of the Day…

‘ It’s what you learn after you know it all that counts.’

– John Wooden