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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.


More to explore:

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
    ·
    396 reviews

    Advanced · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google

    Google Business Intelligence

    Skills you'll gain: Data Modeling, Database Design, Stakeholder Engagement, Dashboard, Business Intelligence, Extract, Transform, Load, Tableau Software, Data Warehousing, Stakeholder Communications, Data Pipelines, Business Reporting, Data Mart, Data Visualization, Interviewing Skills, Applicant Tracking Systems, Business Process, AI Enablement, Business Analysis, Data Analysis, SQL

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6.6K 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
    ·
    64 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), Model Deployment, Cloud Deployment, Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Hugging Face, Responsible AI, Data Manipulation, Exploratory Data Analysis, Containerization, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    558 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, Data Warehousing, Relational Databases, Business Intelligence, Decision Support Systems, Data Modeling, Database Management Systems, Data Visualization, Database Management, Dashboard, Business Process Management, SQL, Star Schema, Data Governance, Oracle Databases, Data Integration, MicroStrategy, 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?

  • 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

  • Unlimited growth. Unbeatable savings.

    Save on Coursera Plus
  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Software Architecture for Big Data

    Skills you'll gain: Service Level, Database Management, Acceptance Testing, Software Engineering, Web Applications, Performance Testing, Scalability, Microservices, Software Architecture, Data Architecture, Distributed Computing, Data Infrastructure, System Monitoring, Functional Requirement, Application Deployment, User Acceptance Testing (UAT), Application Development, Prototyping, Predictive Modeling, Big Data

    Build toward a degree

    3.5
    Rating, 3.5 out of 5 stars
    ·
    102 reviews

    Advanced · Specialization · 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: Frontend Integration, Frontend Performance, Node.JS, Application Performance Management

    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: Free Trial
    Free Trial
    I

    IBM

    Java Development Capstone Project

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

    4.3
    Rating, 4.3 out of 5 stars
    ·
    9 reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    G

    Google Cloud

    Build AI Agents with Enterprise Databases

    Skills you'll gain: Model Context Protocol, Vector Databases, Tool Calling, Database Architecture and Administration, AI Security, Database Application, Google Cloud Platform, Generative AI Agents, SQL, Databases, Query Languages, Semantic Web, Secure Coding, Embeddings, Retrieval-Augmented Generation, Agentic systems

    Advanced · Course · 1 - 4 Weeks

What brings you to Coursera today?

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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
  • SQL CASE Statements: Coursera
  • Software Architecture for Big Data: University of Colorado Boulder
  • Advanced GraphQL for Developers: Optimize & Scale Modern API: Board Infinity
  • 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

SQL, or Structured Query Language, is a standardized programming language used to manage and manipulate relational databases. It is essential because it allows users to create, read, update, and delete data efficiently. SQL is the backbone of data management in various industries, enabling organizations to make data-driven decisions, streamline operations, and enhance customer experiences. Understanding SQL is crucial for anyone looking to work with data, as it provides the foundational skills needed to interact with databases effectively.‎

With SQL skills, you can pursue various job roles in the tech and data sectors. Common positions include Database Administrator, Data Analyst, Data Scientist, Business Intelligence Analyst, and Software Developer. These roles often require proficiency in SQL to manage databases, analyze data, and generate insights that drive business strategies. As organizations increasingly rely on data, the demand for professionals skilled in SQL continues to grow, making it a valuable asset in the job market.‎

To learn SQL effectively, you should focus on several key skills. First, understanding database concepts, such as tables, relationships, and normalization, is crucial. Next, you should learn how to write SQL queries to retrieve and manipulate data using commands like SELECT, INSERT, UPDATE, and DELETE. Familiarity with functions, joins, and subqueries will enhance your ability to analyze data. Additionally, knowledge of data visualization tools and programming languages, such as Python, can complement your SQL skills and broaden your career opportunities.‎

There are numerous online SQL courses available that cater to different skill levels and learning objectives. Some of the best options include the Microsoft SQL Server Professional Certificate, which provides a comprehensive introduction to SQL Server, and the Learn SQL Basics for Data Science Specialization, which focuses on SQL's application in data science. These courses are designed to help you build a solid foundation in SQL and apply your skills in real-world scenarios.‎

Yes. You can start learning SQL on Coursera for free in two ways:

  1. Preview the first module of many SQL courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. 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.‎

To learn SQL, start by selecting a course that matches your current skill level and learning goals. Engage with interactive exercises and projects to practice writing SQL queries. Utilize online resources, such as forums and documentation, to deepen your understanding. Consistent practice is key; try to work on real-world data sets or personal projects to apply what you've learned. Joining study groups or online communities can also provide support and motivation as you progress in your SQL journey.‎

SQL courses typically cover a range of topics essential for understanding and using the language effectively. Key subjects include database design, data types, SQL syntax, query writing, data manipulation, and data retrieval techniques. Advanced courses may explore topics like performance tuning, data warehousing, and integration with programming languages. By covering these areas, SQL courses equip learners with the skills needed to handle various data-related tasks and challenges‎

For training and upskilling employees, courses like the Python, SQL, Tableau for Data Science Professional Certificate and the BI Foundations with SQL, ETL and Data Warehousing Specialization are excellent choices. These programs focus on practical applications of SQL in business intelligence and data analysis, making them suitable for professionals looking to enhance their data skills and contribute to their organization's success.‎

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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