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    Results for "relational databases"

    • Status: Free Trial
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      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
      ·
      715 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
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      Illinois Tech

      Building and Working with Relational Databases

      Skills you'll gain: Database Design, Relational Databases, Database Application, Database Systems, Database Management, Database Theory, Databases, Database Development, SQL, Database Management Systems, MySQL, Transaction Processing, Stored Procedure, Database Architecture and Administration, Data Modeling, Unified Modeling Language, Data Access, Data Integrity, Query Languages, Application Development

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      63 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
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      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
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      22K reviews

      Beginner · Course · 1 - 3 Months

    • 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
      ·
      623 reviews

      Beginner · Course · 1 - 3 Months

    • 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
      U

      University of Colorado Boulder

      Databases for Data Scientists

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

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Beginner · Specialization · 3 - 6 Months

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      Illinois Tech

      Introduction to Relational Databases

      Skills you'll gain: Database Systems, Relational Databases, Database Management, Database Theory, Databases, SQL, Database Design, Database Management Systems, Database Architecture and Administration, Data Access, Query Languages, Data Modeling, Data Manipulation, User Accounts

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      29 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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.5K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Master SQL for Data Analysis

      Skills you'll gain:

      Intermediate · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Database Structures and Management with MySQL

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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      528 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Relational Database Administration (DBA)

      Skills you'll gain: Database Administration, Database Management, Database Architecture and Administration, Relational Databases, Operational Databases, Database Systems, IBM DB2, MySQL, Performance Tuning, PostgreSQL, Disaster Recovery, Data Storage Technologies, Database Design, System Monitoring, Role-Based Access Control (RBAC), User Accounts, Encryption

      4.4
      Rating, 4.4 out of 5 stars
      ·
      245 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Meta Database Engineer

      Skills you'll gain: MySQL, Database Design, Version Control, Database Management Systems, Database Management, MySQL Workbench, Extract, Transform, Load, Data Modeling, Data Structures, SQL, Unix Commands, Relational Databases, Databases, Git (Version Control System), Database Systems, GitHub, Stored Procedure, Object Oriented Programming (OOP), Database Administration, Database Development

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.3K reviews

      Beginner · Professional Certificate · 3 - 6 Months

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

    • Introduction to Relational Databases (RDBMS): IBM
    • Building and Working with Relational Databases: Illinois Tech
    • Databases and SQL for Data Science with Python: IBM
    • SQL: A Practical Introduction for Querying Databases: IBM
    • Introduction to Databases: Meta
    • Databases for Data Scientists: University of Colorado Boulder
    • Introduction to Relational Databases: Illinois Tech
    • Introduction to Structured Query Language (SQL): University of Michigan
    • Master SQL for Data Analysis: Packt
    • Database Structures and Management with MySQL: Meta

    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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