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    Results for "relational databases"

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Relational Databases (RDBMS)

      Skills you'll gain: Database Design, MySQL, IBM DB2, Relational Databases, Databases, Database Management Systems, PostgreSQL, Data Management, Database Architecture and Administration, SQL, Data Integrity, Data Modeling, Data Manipulation, Command-Line Interface

      4.6
      Rating, 4.6 out of 5 stars
      ·
      740 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      SQL: A Practical Introduction for Querying Databases

      Skills you'll gain: SQL, Relational Databases, Microsoft SQL Servers, MySQL, Query Languages, Database Systems, Databases, Database Management, Stored Procedure, IBM DB2, Data Manipulation, Data Analysis, Transaction Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      642 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      E

      EDUCBA

      Oracle SQL 21c: Database Design & Query Mastery

      Skills you'll gain: Oracle SQL Developer, Oracle Databases, Database Design, Data Manipulation, SQL, Relational Databases, Database Management, Databases, Data Transformation, Case Studies, Query Languages, Pivot Tables And Charts, Data Analysis, Performance Tuning, Business Intelligence, Analytics

      Beginner · Specialization · 1 - 3 Months

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

      Illinois Tech

      Building and Working with Relational Databases

      Skills you'll gain: Database Design, Relational Databases, Database Application, Database Management, Database Systems, Database Theory, Databases, SQL, MySQL, Transaction Processing, Stored Procedure, Data Modeling, Unified Modeling Language, Data Integrity, Query Languages, Data Manipulation, Java, Data Structures, Application Development, Performance Tuning

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      66 reviews

      Beginner · Specialization · 3 - 6 Months

    • 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
      U

      University of Colorado Boulder

      Databases for Data Scientists

      Skills you'll gain: SQL, Database Design, Database Management Systems, NoSQL, Database Development, Relational Databases, Data Warehousing, Database Theory, Database Systems, Database Management, Database Administration, Databases, Database Architecture and Administration, Query Languages, Database Software, Data Modeling, Data Analysis, MongoDB, Big Data, Data Architecture

      Build toward a degree

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

      Beginner · Specialization · 3 - 6 Months

    What brings you to Coursera today?

    • Status: Free Trial
      Free Trial
      M

      Meta

      Introduction to Databases

      Skills you'll gain: Database Design, Database Management Systems, SQL, Relational Databases, Databases, MySQL, Database Administration, Data Integrity, Query Languages, Data Manipulation

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

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Akamai Technologies, Inc.

      Managing Relational Databases

      Skills you'll gain: SQL, Database Management, Relational Databases, Database Systems, Database Design, Database Theory, Data Manipulation, Query Languages, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      27 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Introduction to Relational Databases

      Skills you'll gain: Relational Databases, Database Management, Database Systems, Database Theory, Databases, Database Design, SQL, Data Integrity, Query Languages, Data Modeling, Data Manipulation, Authorization (Computing)

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      31 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Introduction to Structured Query Language (SQL)

      Skills you'll gain: Database Design, SQL, MySQL, Relational Databases, Databases, Data Modeling, Development Environment, PHP (Scripting Language), Software Installation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.5K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Business Intelligence with SQLServer: Create SQL Reports

      Skills you'll gain: Relational Databases, SQL, Microsoft SQL Servers, Databases, Business Intelligence, Business Analytics, Report Writing, Data Access

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Relational Database Design

      Skills you'll gain: Database Design, Relational Databases, Database Theory, Data Modeling, Unified Modeling Language, Database Management, Databases, Data Integrity, Dependency Analysis, Conceptual Design, Requirements Analysis

      Build toward a degree

      3.9
      Rating, 3.9 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 4 Weeks

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    In summary, here are 10 of our most popular relational databases courses

    • Introduction to Relational Databases (RDBMS): IBM
    • SQL: A Practical Introduction for Querying Databases: IBM
    • Oracle SQL 21c: Database Design & Query Mastery: EDUCBA
    • Building and Working with Relational Databases: Illinois Tech
    • Databases and SQL for Data Science with Python: IBM
    • Databases for Data Scientists: University of Colorado Boulder
    • Introduction to Databases: Meta
    • Managing Relational Databases: Akamai Technologies, Inc.
    • Introduction to Relational Databases: Illinois Tech
    • Introduction to Structured Query Language (SQL): University of Michigan

    Skills you can learn in Machine Learning

    Python Programming (33)
    Tensorflow (32)
    Deep Learning (30)
    Artificial Neural Network (24)
    Big Data (18)
    Statistical Classification (17)
    Reinforcement Learning (13)
    Algebra (10)
    Bayesian (10)
    Linear Algebra (10)
    Linear Regression (9)
    Numpy (9)

    Frequently Asked Questions about Relational Databases

    Relational databases are groups of data that are organized into tables linked together based on data that shares pre-defined relationships. They create meaning by joining tables to understand the relationships between data points. Databases range in size and can be supported in a variety of ways, including open-source with internal or commercial support or closed-source commercial systems. Examples include MySQL, which supports basic Structured Query Language (SQL) commands, and PostgreSQL, an open-source option with more features, including scalability and security. IBM offers cloud-hosted and on-premises hosted versions of Db2, a relational database that's commercially supported.‎

    If you're looking for the most efficient ways to store data to model different phenomena within that data and achieve outstanding data structure and quality, learn about relational databases. You'll gain first-hand experience working in datasets, unlocking the potential as you go through each column, row, and database. You'll become proficient in SQL and database design while discovering how different types of information systems solve different problems. You can take that knowledge and use it to design, test, and implement database systems.‎

    Working as a database administrator, SQL developer, or data manager are three of the careers that you can pursue when learning about relational databases. It can also be helpful if you work in other IT careers, such as computer systems analysts or network architects. You might work directly in database design, or you could parlay your knowledge into a career with a focus on cloud computing, cloud management, or information privacy. There's a broad range of jobs that benefit from the skills you'll gain by learning about, and working with, relational databases.‎

    From gaining a solid understanding of what relational databases are to designing databases, online courses on Coursera are designed to give you a mix of theory and hands-on experience. Discover your proficiency in SQL for Data Science when you take a course from the University of California, Davis, or explore AWS Fundamentals in a specialization offered by Amazon Web Services. We give you access to a mix of courses, degrees, Professional Certificates, MasterTrack Certificates, Specializations, and Guided Projects to give you a thorough education in the topics and focuses you're interested in pursuing.‎

    Online Relational Database courses offer a convenient and flexible way to enhance your knowledge or learn new Relational Database skills. Choose from a wide range of Relational Database courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Relational Database, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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