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    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

    • Status: Free Trial
      Free Trial
      I

      IBM

      Databases and SQL for Data Science with Python

      Skills you'll gain: SQL, Relational Databases, Stored Procedure, Databases, Query Languages, Jupyter, Data Manipulation, Data Analysis, Pandas (Python Package), Transaction Processing, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      22K 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), Statistics, Data Visualization, Statistical Hypothesis Testing, Regression Analysis, Web Scraping, Relational Databases, Stored Procedure, Python Programming, Data Science, Data Structures, Computer Programming Tools, Data Visualization Software

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      73K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Analysis with Python

      Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Transformation, Data Analysis, Data Cleansing, Data Manipulation, Data Import/Export, Predictive Modeling, Regression Analysis, Statistical Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data-Driven Decision-Making, Matplotlib, Feature Engineering, Data Visualization, Data Pipelines, NumPy, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19K reviews

      Intermediate · Course · 1 - 3 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
      ·
      444 reviews

      Beginner · Specialization · 3 - 6 Months

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

      IBM

      IBM Data Analyst

      Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Data Wrangling, Dashboard, Data Visualization Software, Plotly, Data Visualization, Generative AI, SQL, Interactive Data Visualization, Data Transformation, Data Analysis, Data Cleansing, Jupyter, Big Data, IBM Cognos Analytics, Excel Formulas, Python Programming, Professional Networking, Microsoft Excel

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      95K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      C

      Coursera

      Python, SQL, Tableau for Data Science

      Skills you'll gain: Data Storytelling, Data Presentation, Exploratory Data Analysis, SQL, Data Visualization Software, Database Design, AWS SageMaker, Unsupervised Learning, Interactive Data Visualization, Dashboard, Data Visualization, Feature Engineering, Database Management, A/B Testing, Tableau Software, Pandas (Python Package), Matplotlib, Python Programming, Data Analysis, Machine Learning

      3.8
      Rating, 3.8 out of 5 stars
      ·
      11 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    What brings you to Coursera today?

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

      IBM

      IBM Data Engineering

      Skills you'll gain: NoSQL, Data Warehousing, Apache Hadoop, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Design, SQL, IBM Cognos Analytics, MySQL, Apache Spark, Database Administration, Data Store, Jupyter, Generative AI, Professional Networking, Python Programming, Data Analysis, Data Science

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      60K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      G

      Google

      Google Cybersecurity

      Skills you'll gain: Threat Modeling, Network Security, Threat Management, Incident Response, Vulnerability Management, Computer Security Incident Management, Hardening, Intrusion Detection and Prevention, Security Management, Cyber Threat Intelligence, Cyber Attacks, Cybersecurity, Network Protocols, Cloud Security, Bash (Scripting Language), Debugging, Linux, Interviewing Skills, Python Programming, SQL

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      57K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Meta Back-End Developer

      Skills you'll gain: Django (Web Framework), Full-Stack Web Development, Version Control, Restful API, Data Structures, Unix Commands, Bootstrap (Front-End Framework), Git (Version Control System), Back-End Web Development, GitHub, Web Design and Development, Relational Databases, Front-End Web Development, Object Oriented Programming (OOP), Database Management Systems, SQL, Database Design, Python Programming, Computer Programming, Cloud Hosting

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9.5K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Python for Everybody

      Skills you'll gain: Web Scraping, Data Processing, Data Store, Relational Databases, Data Visualization, JSON, Database Design, SQL, Network Protocols, Databases, Web Services, Restful API, Data Modeling, Programming Principles, Application Programming Interface (API), Database Systems, Data Cleansing, Data Structures, Computer Programming, Python Programming

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      279K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Engineering Foundations

      Skills you'll gain: Web Scraping, Database Design, SQL, MySQL, Data Transformation, Data Store, IBM DB2, Extract, Transform, Load, Jupyter, Data Architecture, Data Pipelines, Big Data, Databases, Data Warehousing, Data Governance, Database Management Systems, Relational Databases, Stored Procedure, Python Programming, Data Structures

      4.6
      Rating, 4.6 out of 5 stars
      ·
      58K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Scripting with Python and SQL for Data Engineering

      Skills you'll gain: Web Scraping, MySQL, SQL, JSON, Scripting, Data Manipulation, Data Structures, Query Languages, Database Management, Databases, Data Import/Export, Data Storage Technologies, Spatial Analysis, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      103 reviews

      Intermediate · Course · 1 - 4 Weeks

    Searches related to sql

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    1234…9

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

    • Databases and SQL for Data Science with Python: IBM
    • Data Science Fundamentals with Python and SQL: IBM
    • Data Analysis with Python: IBM
    • Python, Bash and SQL Essentials for Data Engineering: Duke University
    • IBM Data Analyst: IBM
    • Python, SQL, Tableau for Data Science: Coursera
    • IBM Data Engineering: IBM
    • Google Cybersecurity: Google
    • Meta Back-End Developer: Meta
    • Python for Everybody: University of Michigan

    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

    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.‎

    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. ‎
    • 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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