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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


  • 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

  • Status: Free Trial
    Free Trial
    G

    Google

    Google Business Intelligence

    Skills you'll gain: Data Modeling, Stakeholder Engagement, Database Design, Dashboard, Business Intelligence, Extract, Transform, Load, Tableau Software, Databases, Data Warehousing, Database Systems, Data Pipelines, Data-Driven Decision-Making, Data Visualization, Interviewing Skills, Business Process, Business Analysis, Professional Development, Google Gemini, Data Analysis, SQL

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6.2K reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • C

    Coursera

    SQL Window Functions for Analytics

    Skills you'll gain: SQL, PostgreSQL, Query Languages, Database Management, Database Systems, Data Manipulation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    40 reviews

    Advanced · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Working with Subqueries in SQL

    Skills you'll gain: SQL, PostgreSQL, Query Languages

    4.4
    Rating, 4.4 out of 5 stars
    ·
    63 reviews

    Advanced · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps | Machine Learning Operations

    Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Application Deployment, Responsible AI, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    550 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Data Warehousing for Business Intelligence

    Skills you'll gain: Database Design, Business Intelligence, Data Warehousing, Relational Databases, Data Modeling, Decision Support Systems, Data Visualization, Database Management Systems, Databases, Dashboard, SQL, Star Schema, Performance Measurement, Data Governance, Oracle Databases, Data Integration, Operational Performance Management, Extract, Transform, Load, Business Analytics, Data Management

    4.5
    Rating, 4.5 out of 5 stars
    ·
    4.1K reviews

    Advanced · Specialization · 3 - 6 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Software Architecture for Big Data

    Skills you'll gain: Service Level, Software Engineering, Data Architecture, Web Applications, Software Architecture, Cloud Applications, Performance Testing, Scalability, Functional Requirement, Distributed Computing, Databases, Microservices, Application Deployment, Application Development, Predictive Modeling, Software Testing, System Design and Implementation, Middleware, Transaction Processing, Big Data

    Build toward a degree

    3.5
    Rating, 3.5 out of 5 stars
    ·
    102 reviews

    Advanced · Specialization · 1 - 3 Months

  • C

    Coursera

    SQL CASE Statements

    Skills you'll gain: PostgreSQL, SQL, Query Languages, Data Transformation, Data Manipulation, Database Development, Data Management

    4.5
    Rating, 4.5 out of 5 stars
    ·
    30 reviews

    Advanced · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google

    The Path to Insights: Data Models and Pipelines

    Skills you'll gain: Data Modeling, Database Design, Extract, Transform, Load, Databases, Data Warehousing, Database Systems, Data Pipelines, Business Intelligence, Data Integrity, Performance Tuning, Data Mart, Data Management, Process Optimization, Data Quality, Data Transformation, SQL, Performance Testing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    693 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Data Analyst Capstone Project

    Skills you'll gain: Dashboard, Exploratory Data Analysis, Data Wrangling, Statistical Analysis, Data Visualization, IBM Cognos Analytics, Data Manipulation, Data Collection, Data Analysis, Looker (Software), Web Scraping, Data Transformation, Box Plots, Pandas (Python Package), Scatter Plots, Histogram

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.3K reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Board Infinity

    Advanced GraphQL for Developers: Optimize & Scale Modern API

    Skills you'll gain: Front-End Web Development, Node.JS, Object-Relational Mapping

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    I

    IBM

    Java Development Capstone Project

    Skills you'll gain: Database Design, Continuous Integration, Restful API, User Requirements Documents, Docker (Software), Model View Controller, Front-End Web Development, Databases, User Story, CI/CD, Java, Java Programming, Hibernate (Java), Database Application, HTML and CSS, Full-Stack Web Development, Spring Boot, Java Platform Enterprise Edition (J2EE), Back-End Web Development, Software Design Documents

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8 reviews

    Advanced · Course · 1 - 3 Months

Searches related to sql

sql for beginners
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sql for data analysis
sql fundamentals for data analysts
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1234…6

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

  • Advanced Relational Database and SQL: Coursera
  • Google Business Intelligence: Google
  • SQL Window Functions for Analytics: Coursera
  • Working with Subqueries in SQL: Coursera
  • MLOps | Machine Learning Operations: Duke University
  • Data Warehousing for Business Intelligence: University of Colorado System
  • Software Architecture for Big Data: University of Colorado Boulder
  • SQL CASE Statements: Coursera
  • The Path to Insights: Data Models and Pipelines: Google
  • IBM Data Analyst Capstone Project: IBM

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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