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    • Data Modeling

    Data Modeling Courses Online

    Learn data modeling techniques for structuring data. Understand how to create logical and physical data models for database design.

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    Explore the Data Modeling Course Catalog

    • Status: New
      New
      A

      Arm

      Teaching AI on the Edge

      Skills you'll gain: Open Source Technology, Data Ethics, Artificial Intelligence, Education Software and Technology, Large Language Modeling, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Program Development, MLOps (Machine Learning Operations), Ethical Standards And Conduct, Application Deployment, Law, Regulation, and Compliance, Information Privacy, Performance Tuning, Data Security

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Production Machine Learning Systems - Français

      Skills you'll gain: Tensorflow, MLOps (Machine Learning Operations), Dependency Analysis, Systems Architecture, Google Cloud Platform, Deep Learning, Applied Machine Learning, Machine Learning, Hybrid Cloud Computing, Performance Tuning, Data Validation, Distributed Computing, Scalability, Data Pipelines, Debugging

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free
      Free
      C

      Coursera Instructor Network

      GenAI for Sales Managers: Data-Driven Sales Forecasting

      Skills you'll gain: Sales Pipelines, Sales Management, Sales Enablement, Sales Process, Sales, Sales Strategy, Customer Engagement, Sales Training, Generative AI Agents, Customer experience improvement, Lead Generation, Forecasting, Business Ethics, Prioritization

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      MLOps with Vertex AI: Manage Features - 日本語版

      Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Data Modeling, Feature Engineering, Continuous Deployment, Applied Machine Learning, Data Processing, Data Management, Data Storage

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Introduction to Responsible AI - Deutsch

      Skills you'll gain: Data Ethics, Accountability, Artificial Intelligence, Compliance Training, Governance, Regulatory Compliance, Business Ethics, Ethical Standards And Conduct, Decision Making

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Svelte 5 & SvelteKit For Hands-On Modern Web Development

      Skills you'll gain: Full-Stack Web Development, Responsive Web Design, UI Components, JavaScript Frameworks, Back-End Web Development, Web Applications, TypeScript, Web Development, Application Development, Front-End Web Development, Web Design and Development, Web Development Tools, Cascading Style Sheets (CSS), Database Management, Content Management Systems, Server Side, Debugging, HTML and CSS, Application Deployment, User Interface (UI)

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free
      Free
      G

      Google Cloud

      Serverless Data Processing with Dataflow: Pipelines - 日本語版

      Skills you'll gain: Dataflow, Data Pipelines, Real Time Data, Data Processing, Google Cloud Platform, Business Logic, Data Transformation, Performance Tuning, SQL, Scalability, Jupyter

      Advanced · Course · 1 - 3 Months

    • L

      LearnQuest

      Advanced Applications of CDO in Enterprise Security Admin

      Skills you'll gain: Systems Integration, Enterprise Architecture, Cloud-Based Integration, Data Governance, Data Management, Security Strategy, Cloud Management, Enterprise Security, Security Management, Security Controls, Security Requirements Analysis, Threat Modeling, Continuous Monitoring, Cyber Security Strategy

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Vector Databases Deep Dive

      Skills you'll gain: NoSQL, Database Systems, Databases, Database Management, Data Storage Technologies, Performance Tuning, Information Architecture, Data Management, Data Transformation, Scalability, Algorithms, Artificial Intelligence and Machine Learning (AI/ML)

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      Unreal Engine 5 - Make AAA Game Vehicles

      Skills you'll gain: Unreal Engine, Video Game Development, Game Design, Virtual Environment, Performance Tuning, Animations, Data Import/Export, UI Components

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      Specflow and Cucumber for .NET Developers - The Master Guide

      Skills you'll gain: Gherkin (Scripting Language), Cucumber (Software), Behavior-Driven Development, .NET Framework, Test Driven Development (TDD), Test Case, User Story, Scenario Testing, Test Automation, Microsoft Visual Studio, C# (Programming Language), Acceptance Testing

      Beginner · Course · 3 - 6 Months

    • L

      LearnQuest

      Designing Software-Defined Branch Infrastructures

      Skills you'll gain: Threat Management, Threat Detection, Software-Defined Networking, Network Architecture, Network Planning And Design, Network Security, Cloud-Based Integration, Cloud Computing Architecture, Network Infrastructure, Internet Of Things, Multi-Cloud, Wide Area Networks, Technical Consulting, Scalability, Technology Solutions

      Intermediate · Course · 1 - 4 Weeks

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    In summary, here are 10 of our most popular data modeling courses

    • Teaching AI on the Edge: Arm
    • Production Machine Learning Systems - Français: Google Cloud
    • GenAI for Sales Managers: Data-Driven Sales Forecasting: Coursera Instructor Network
    • MLOps with Vertex AI: Manage Features - 日本語版: Google Cloud
    • Introduction to Responsible AI - Deutsch: Google Cloud
    • Svelte 5 & SvelteKit For Hands-On Modern Web Development: Packt
    • Serverless Data Processing with Dataflow: Pipelines - 日本語版: Google Cloud
    • Advanced Applications of CDO in Enterprise Security Admin: LearnQuest
    • Vector Databases Deep Dive: Packt
    • Unreal Engine 5 - Make AAA Game Vehicles: Packt

    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 Data Modeling

    Data modeling is an essential prerequisite to proper database design, as it clearly establishes the structures, relationships, and flows of data through an organization. This diagramming is important because it ensures the integrity of a company’s data and its interrelationships in the database management system (DBMS) so that it can be relied on for accurate analysis.

    Data modeling has become more challenging in the big data era, as vast flows of unstructured, real-time data are not easily classified. However, there are also new tools available for data management professionals. Neo4j, one type of NoSQL database, can help with data modeling by filtering large datasets with graph analytics. And, with Apache Impala’s ability to analyze big data in the cloud, data modelers can create flexible system protocols that can evolve with data growth.‎

    Data modeling is a complex process that demands the ability to precisely understand and diagram business operations, data flows, and data management systems. Database administrators especially rely on data modeling to design and manage an organization’s databases to ensure security, integrity, and freedom from error.

    Data engineers also use data modeling skills to efficiently design and build an organization’s data infrastructure. They are responsible for creating the data pipelines, data warehouses, and data lakes used for business operations, exploratory data analysis, and predictive business intelligence. According to Glassdoor, the national average salary for a data engineer in the United States is $102,864 per year.‎

    Yes! Coursera offers a wide variety of online courses and Specializations in data modeling, as well as related topics like data warehousing, business intelligence, and big data. You can take courses from top-ranked institutions like the University of California San Diego and the University of Illinois at Urbana-Champaign, so you don’t have to sacrifice the quality of your education for the opportunity to learn online.

    Coursera also offers the opportunity to pursue a full Master of Science in Data Science degree from the University of Colorado Boulder. Whether you’re a data science beginner or adding new skills to your resume, data modeling will give you an essential perspective into the structure of an organization’s data operations.‎

    Previous experience or education—at the high school or postsecondary levels—in information science, applied mathematics, or computer science and related topics can help you form the foundation needed to learn about data modeling. A background in business management and information systems management may also be beneficial. Naturally, you'll need good basic computer skills, as well as some experience in areas like database administration, computer architecture, data representation, and digital logic. An understanding of modeling tools—like PowerDesigner, Erwin, and Enterprise Architect—can also prepare you to learn data modeling. Experience with database management systems is also a must. Software development experience can be helpful too.‎

    While technical skills are important for work that involves data modeling, you must also be a good communicator and teacher. In many cases, you'll have to explain your job to those who may not fully understand it. This means you'll need good written and verbal communication skills. It also means you'll need good interpersonal skills and the ability to work well with a team. You should also have a business-minded personality. The ideas and standards you implement will be based on the needs of the business where you work. You must be someone who can learn, change, and adapt quickly as you'll find that the job calls for that on many occasions.‎

    Anyone with a background and passion for math, data, and computers may find that learning data modeling is right for them, especially if you dream of working in the business world and helping companies reach their full potential. Your technical knowhow and communication skills must be equally as sharp if you want a career in the field. However, choosing a career in this field means plenty of job opportunities, a competitive salary, and a great outlook for the future. You must be willing to build on your education and experience to work your way up from a career such as a data analyst if you choose this path.‎

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

    When looking to enhance your workforce's skills in Data Modeling, 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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