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SQL Courses

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.


Popular SQL Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    SQL for Data Science

    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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    17K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    SQL for Data Science with R

    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

    4.4
    Rating, 4.4 out of 5 stars
    ·
    182 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Data Analytics

    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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    20K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    The Structured Query Language (SQL)

    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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Science Fundamentals with Python and SQL

    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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    74K reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Advanced Relational Database and SQL

    Skills you'll gain: Stored Procedure, SQL, Data Presentation, Query Languages, Relational Databases, Database Development, Database Administration, Data Science

    4.5
    Rating, 4.5 out of 5 stars
    ·
    394 reviews

    Advanced · Guided Project · Less Than 2 Hours

What brings you to Coursera today?

  • Status: Free Trial
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    Status: AI skills
    AI skills
    I

    IBM

    IBM Data Engineering

    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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    61K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Python, Bash and SQL Essentials for Data Engineering

    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

    4.5
    Rating, 4.5 out of 5 stars
    ·
    456 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Data Engineering

    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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Databases for Data Scientists

    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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    What is Data Science?

    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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    77K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Data Science

    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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    101K reviews

    Beginner · Specialization · 3 - 6 Months

Searches related to sql

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1234…8

In summary, here are 10 of our most popular sql courses

  • SQL for Data Science: University of California, Davis
  • SQL for Data Science with R: IBM
  • Introduction to Data Analytics: IBM
  • The Structured Query Language (SQL): University of Colorado Boulder
  • Data Science Fundamentals with Python and SQL: IBM
  • Advanced Relational Database and SQL: Coursera
  • IBM Data Engineering: IBM
  • Python, Bash and SQL Essentials for Data Engineering: Duke University
  • Introduction to Data Engineering: IBM
  • Databases for Data Scientists: University of Colorado Boulder

Skills you can learn in Data Analysis

Analytics (85)
Big Data (64)
Python Programming (47)
Business Analytics (40)
R Programming (37)
Statistical Analysis (36)
Sql (33)
Data Model (29)
Data Mining (27)
Exploratory Data Analysis (26)
Data Modeling (21)
Data Manipulation (20)

Frequently Asked Questions about Sql

Browse the SQL courses below—popular starting points on Coursera.

  • Databases and SQL for Data Science with Python: IBM
  • SQL: A Practical Introduction for Querying Databases: IBM
  • SQL for Data Science: University of California, Davis
  • Introduction to Structured Query Language (SQL): University of Michigan
  • SQL Foundations: Microsoft
  • SQL Fundamentals for Data Analysts: Corporate Finance Institute
  • Intro to SQL: Scrimba‎

These beginner-friendly options offer an approachable introduction to SQL, no prior experience required:

  • SQL for Data Science by UC Davis – A top-rated intro that teaches the basics of querying and joins.
  • Intro to SQL from Scrimba – Focuses on writing queries and filtering data with hands-on practice.
  • Databases and SQL for Data Science with Python by IBM – Great if you’re learning SQL as part of a broader data science skill set. ‎

The Introduction to Structured Query Language (SQL) course by the University of Michigan spans 2 weeks and focuses on:

  • Data modeling
  • Relational databases
  • MySQL database design

It includes tools like PHP and Linux.

Conversely, SQL Foundations by Microsoft also takes 2 weeks and emphasizes:

  • Data manipulation
  • Transact-SQL
  • Microsoft SQL Servers

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:

  • In-depth PHP and MySQL training
  • A focus on advanced data manipulation techniques with Microsoft SQL Server.‎

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?

  • For practical data querying skills, consider SQL: A Practical Introduction for Querying Databases, which includes SQL for data analysis.
  • For a focused SQL foundation, try SQL for Data Science by UC Davis.
  • If you're preparing for technical interviews or backend roles, consider Meta Database Engineer Professional Certificate, which includes advanced SQL topics and database management.‎
  • A course focuses on one key skill—such as Managing Big Data with MySQL.
  • A Specialization helps you build a broader SQL and database toolkit—like the Learn SQL Basics for Data Science Specialization.
  • A Professional Certificate prepares you for career roles (e.g., analyst or engineer) with end-to-end training—such as Meta Database Engineer Certificate or IBM Data Analyst Certificate, both of which include SQL. ‎

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:

  • Preview the first module of many SQL courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  • Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

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.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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