SQL courses can help you learn database design, data manipulation, query optimization, and data retrieval techniques. You can build skills in writing complex queries, managing relational databases, and ensuring data integrity. Many courses introduce tools like MySQL, PostgreSQL, and Microsoft SQL Server, demonstrating how to use these platforms for data analysis and reporting. You'll also explore key topics such as joins, indexing, and transaction management, which are vital for effective data management and analysis.

University of California, Davis
Skills you'll gain: Data Governance, SQL, Data Quality, Database Design, Query Languages, Data Manipulation, Data Modeling, Relational Databases, Data Science, Data Analysis, Data Transformation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Database Design, Relational Databases, SQL, Databases, R Programming, Database Management, Data Science, Database Management Systems, Data Modeling, Data Analysis Software, Query Languages, Data Access, Data Manipulation, Data Analysis
Beginner · Course · 1 - 3 Months

Skills you'll gain: Big Data, Data Analysis, Statistical Analysis, Apache Hadoop, Data Wrangling, Apache Hive, Data Collection, Data Mart, Data Science, Data Warehousing, Data Visualization, Analytics, Data Cleansing, Apache Spark, Data Lakes, Data Visualization Software, Microsoft Excel
Beginner · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: SQL, Database Systems, Database Theory, Database Management, Query Languages, Database Design, Relational Databases, Database Administration, Database Application, Data Access, Data Science, Data Analysis, Data Manipulation, Data Modeling, Data Integrity
Build toward a degree
Beginner · Course · 1 - 3 Months

Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Presentation, Statistics, Data Visualization, Relational Databases, Stored Procedure, Data Import/Export, Data Science, Programming Principles, Computer Programming Tools, Web Scraping, Data Visualization Software, Python Programming
Build toward a degree
Beginner · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Stored Procedure, SQL, Data Presentation, Query Languages, Relational Databases, Database Development, Database Administration, Data Science
Advanced · Guided Project · Less Than 2 Hours

Skills you'll gain: NoSQL, Apache Spark, Data Warehousing, Apache Hadoop, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Design, SQL, IBM Cognos Analytics, MySQL, Database Administration, Data Store, Generative AI, Professional Networking, Data Import/Export, Python Programming, Data Analysis, Data Science
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months
Duke University
Skills you'll gain: Pandas (Python Package), Bash (Scripting Language), Version Control, Jupyter, Linux Commands, Git (Version Control System), Shell Script, Linux, Web Scraping, Linux Administration, Data Manipulation, MySQL, Microservices, AWS SageMaker, SQL, JSON, Cloud Engineering, Python Programming, Big Data, Data Science
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Data Store, Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Data Warehousing, Data Governance, Apache Hadoop, Relational Databases, Apache Spark, Data Lakes, Databases, SQL, NoSQL, Data Security, Data Science
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Database Design, SQL, Database Management Systems, Database Development, NoSQL, Relational Databases, Data Warehousing, Database Theory, Database Architecture and Administration, Database Administration, Databases, Database Systems, Database Management, Data Modeling, Query Languages, Big Data, Database Application, Data Integrity, Data Access, Data Science
Build toward a degree
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Data Literacy, Data Mining, Big Data, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Data-Driven Decision-Making, Deep Learning, Machine Learning, Artificial Intelligence
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: SQL, Peer Review, Jupyter, Data Literacy, Data Mining, Data Modeling, Data Collection, Business Analysis, Relational Databases, Stored Procedure, Databases, Data Science, Big Data, Computer Programming Tools, Query Languages, Data Visualization Software, Decision Tree Learning, Predictive Modeling, Cloud Computing, Python Programming
Build toward a degree
Beginner · Specialization · 3 - 6 Months
Browse the SQL courses below—popular starting points on Coursera.
These beginner-friendly options offer an approachable introduction to SQL, no prior experience required:
The Introduction to Structured Query Language (SQL) course by the University of Michigan spans 2 weeks and focuses on:
It includes tools like PHP and Linux.
Conversely, SQL Foundations by Microsoft also takes 2 weeks and emphasizes:
It includes tools like GitHub and generative AI applications.
Both courses are beginner-friendly and target data analyst roles, but differ in their tools and specific areas of focus. Choose based on whether you want:
Start by identifying your use case—do you want to analyze data, work with databases, or support a technical role in data science or engineering?
Click here to ask ChatGPT to find the right SQL course on Coursera for your learning goals.‎
Yes. You can start learning SQL on Coursera for free in two ways:
If you want to keep learning, earn a certificate in SQL, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎
You’ll learn how to write SQL queries, filter and sort data, join multiple tables, and use aggregate functions. Some courses also cover subqueries, data cleaning, and working with large datasets or cloud-based databases.‎
No prior experience is required. Most introductory SQL courses are designed for beginners and walk you through the fundamentals step by step. If you’ve used spreadsheets or worked with data, those skills can be helpful but aren’t necessary.‎
Stored procedure optimization involves improving the performance of SQL routines by reducing execution time and resource usage. Techniques include indexing, avoiding cursors, minimizing nested queries, and analyzing execution plans. Courses like SQL for Data Science from the University of California, Davis on Coursera can help you strengthen your SQL skills and understand performance tuning strategies.‎
The IBM DB2 SQL certification demonstrates your ability to write and optimize SQL queries for IBM's DB2 database system. It covers database objects, data manipulation, and query performance. Courses like IBM Data Warehouse Engineer Professional Certificate on Coursera include hands-on SQL training relevant to working with DB2.‎