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    • Sql

    SQL Courses

    SQL courses can help you learn how to manage and query structured data in relational databases to support analysis, reporting, and application development.

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    Find the Best SQL Course for Your Goals

    • G

      Google Cloud

      Work with Gemini Models in BigQuery - Deutsch

      Skills you'll gain: Generative AI, Google Cloud Platform, Applied Machine Learning, SQL, Prompt Engineering, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Query Languages, Customer Relationship Management

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Work with Gemini Models in BigQuery - Bahasa Indonesia

      Skills you'll gain: Generative AI, Customer Relationship Management, Predictive Modeling, Workflow Management, Artificial Intelligence and Machine Learning (AI/ML), SQL, Google Cloud Platform, Jupyter, Big Data, Business Solutions

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Building Resilient Streaming Analytics Systems on GCP IT

      Skills you'll gain: Dataflow, Real Time Data, Google Cloud Platform, Data Pipelines, Big Data, Data Storage Technologies, Data Processing, Advanced Analytics, Data Transformation, Scalability, Performance Tuning

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Gemini for Data Scientists and Analysts - 日本語版

      Skills you'll gain: Marketing Analytics, Generative AI, Customer Analysis, Customer Insights, Big Data, Marketing Strategies, Forecasting, Predictive Analytics, Data Analysis, Artificial Intelligence and Machine Learning (AI/ML)

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Introduction to Data Engineering on Google Cloud - 繁體中文

      Skills you'll gain: Google Cloud Platform, Extract, Transform, Load, Cloud Storage, Data Pipelines, Data Migration, Data Processing, Data Integration, Data Warehousing, Cloud Services, SQL, Data Transformation, Data Sharing, Automation, Data Management

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Gemini for Data Scientists and Analysts-Português Brasileiro

      Skills you'll gain: Marketing Strategies, Customer Analysis, Big Data, Forecasting, Customer Insights, Predictive Analytics, Analytics, Target Audience, Data Analysis, Marketing Analytics, Artificial Intelligence, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Google Cloud Platform, Generative AI

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Applying Machine Learning to Your Data with GC - Português

      Skills you'll gain: Google Cloud Platform, Applied Machine Learning, Machine Learning, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Natural Language Processing, Image Analysis, Application Programming Interface (API), Performance Metric

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Work with Gemini Models in BigQuery - Português Brasileiro

      Skills you'll gain: Generative AI, Google Cloud Platform, Customer Relationship Management, Predictive Modeling, SQL, Big Data, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Introduction to AI and Machine Learning on GC - 한국어

      Skills you'll gain: Generative AI, Google Cloud Platform, Cloud Infrastructure, MLOps (Machine Learning Operations), Big Data, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Artificial Intelligence, Machine Learning, Predictive Modeling, Natural Language Processing

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Advanced Development, Deployment, and Cloud Integration

      Skills you'll gain: ASP.NET, Application Deployment, Microsoft Azure, Cloud Applications, Software Architecture, Scalability, Authentications, User Interface (UI), .NET Framework, Software Design, Maintainability, UI/UX Strategy, Model View Controller, Secure Coding, Application Servers, Microsoft SQL Servers, Database Development, Debugging, Data Validation

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Advanced ASP.NET Core MVC, Deployment & User Management

      Skills you'll gain: User Accounts, ASP.NET, Authorization (Computing), Authentications, Application Deployment, Microsoft Azure, OAuth, Identity and Access Management, Microsoft Visual Studio, Role-Based Access Control (RBAC), Server Side, Database Management, UI Components

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      CQRS, API Development, and Module Communication

      Skills you'll gain: Restful API, Redis, .NET Framework, Application Programming Interface (API), Software Design Patterns, Scalability, PostgreSQL, Software Architecture, Middleware, Maintainability, Database Development, Data Validation, Debugging

      Intermediate · Course · 1 - 3 Months

    Searches related to sql

    sql for beginners
    sql for data science
    sql for data analysis
    sql server
    sql free
    sql fundamentals for data analysts
    sql database
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    1…888990…91

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

    • Work with Gemini Models in BigQuery - Deutsch: Google Cloud
    • Work with Gemini Models in BigQuery - Bahasa Indonesia: Google Cloud
    • Building Resilient Streaming Analytics Systems on GCP IT: Google Cloud
    • Gemini for Data Scientists and Analysts - 日本語版: Google Cloud
    • Introduction to Data Engineering on Google Cloud - 繁體中文: Google Cloud
    • Gemini for Data Scientists and Analysts-Português Brasileiro: Google Cloud
    • Applying Machine Learning to Your Data with GC - Português: Google Cloud
    • Work with Gemini Models in BigQuery - Português Brasileiro: Google Cloud
    • Introduction to AI and Machine Learning on GC - 한국어: Google Cloud
    • Advanced Development, Deployment, and Cloud Integration: Packt

    Why Learn SQL?

    SQL (Structured Query Language) is the standard language for storing, retrieving, and managing data in relational databases. It’s a critical skill in data analysis, business intelligence, and software development. Learning SQL helps you work efficiently with data, uncover insights, and support decision-making across industries.

    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

    Popular SQL courses on Coursera include SQL for Data Science from the University of California, Davis and Databases and SQL for Data Science by IBM. These courses teach SQL basics, data analysis, querying databases, and using SQL in business or data science contexts.‎

    Yes. Many SQL courses offer a free audit option, allowing you to access video lessons and reading materials at no cost. To complete assignments or earn a certificate, you’ll need to 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.‎

    Yes. SQL is a highly sought-after skill for roles in data analysis, business intelligence, software development, and more. Learning SQL through Coursera can help you build job-ready skills, complete hands-on projects, and earn certificates that show what you’ve learned.‎

    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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