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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
      G

      Google Cloud

      Create a RAG Application with BigQuery

      Skills you'll gain: Big Data, Data Processing, Identity and Access Management, Data Mining, Text Mining, Generative AI

      Intermediate · Project · Less Than 2 Hours

    • G

      Google Cloud

      Mitigating Security Vulnerabilities on GC - Português

      Skills you'll gain: Distributed Denial-Of-Service (DDoS) Attacks, Data Loss Prevention, Threat Management, Cloud Security, Threat Detection, Application Security, Continuous Monitoring, Cybersecurity, Security Controls, Data Security, Personally Identifiable Information, Identity and Access Management, Cloud Services, Automation

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      Mastering WidgetKit in SwiftUI 4, iOS 16 with Dynamic Island

      Skills you'll gain: Apple iOS, Swift Programming, Core Data (Software), Mobile Development, User Interface (UI), Application Programming Interface (API), User Interface (UI) Design, Real Time Data, Data Modeling

      Intermediate · Course · 3 - 6 Months

    • Status: New
      New
      P

      Packt

      The Docker Masterclass for Beginners

      Skills you'll gain: Docker (Software), CI/CD, Development Environment, Continuous Integration, Containerization, Continuous Deployment, Devops Tools, Cloud-Native Computing, Application Deployment, DevOps, Software Development Tools, Linux, YAML, Virtualization, Web Applications, Linux Commands, Application Development

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Automation and Project Implementation in Azure Databricks

      Skills you'll gain: CI/CD, Databricks, Microsoft Azure, Continuous Integration, Data Architecture, Continuous Deployment, Development Environment, Integration Testing, Automation, Restful API, Data Security, Data Integration, Command-Line Interface, Systems Design, Data Pipelines, Software Design, Cloud API, Cloud Storage

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI: Applying AI Principles with GC - Polski

      Skills you'll gain: Data Ethics, Ethical Standards And Conduct, Generative AI, Artificial Intelligence, Google Cloud Platform, Business Ethics, Auditing, Governance, Accountability, Compliance Management, Decision Making, Stakeholder Engagement

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free
      Free
      C

      Coursera Instructor Network

      Replit Essentials: Collaborate, Create, and Code Smarter

      Skills you'll gain: Version Control, Integrated Development Environments, Debugging, Git (Version Control System), Application Deployment, Cloud Development, GitHub, Application Development, Continuous Deployment, Code Review, File Management, Software Development Tools, Secure Coding, Configuration Management, Real Time Data, Cloud Storage

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Introduction to AI and Machine Learning on GC - Deutsch

      Skills you'll gain: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Applied Machine Learning, Artificial Intelligence, Text Mining, Machine Learning, Cloud Infrastructure, Cloud API, Predictive Modeling, Cloud Computing, Image Analysis, Application Programming Interface (API)

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free
      Free
      C

      Coursera Instructor Network

      GenAI for Compensation Analysis in Law Firms

      Skills you'll gain: Compensation Management, Compensation Analysis, Compensation Strategy, Compensation and Benefits, People Analytics, Data-Driven Decision-Making, Job Analysis, Labor Compliance, Law, Regulation, and Compliance, Performance Measurement, Generative AI, Employee Retention, Business Metrics, Market Research

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      MERN eCommerce from Scratch

      Skills you'll gain: React Redux, React.js, Node.JS, Full-Stack Web Development, Front-End Web Development, Back-End Web Development, Application Deployment, JavaScript Frameworks, MongoDB, UI Components, Web Applications, Web Development, Authentications, Payment Systems, User Accounts, User Interface and User Experience (UI/UX) Design, Database Development, Restful API, Application Programming Interface (API)

      Intermediate · Course · 3 - 6 Months

    • Status: New
      New
      P

      Packt

      Mastering Java - From Beginner to Intermediate

      Skills you'll gain: IntelliJ IDEA, Java, Object Oriented Programming (OOP), Integrated Development Environments, Software Development Life Cycle, Program Development, Software Development Tools, Java Programming, Computer Programming Tools, Computer Programming, Development Environment, Data Structures, Software Development, Programming Principles, Debugging, Virtual Machines, Command-Line Interface, Linux Commands

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free
      Free
      G

      Google Cloud

      Create Image Captioning Models - Italiano

      Skills you'll gain: Generative AI, Image Analysis, Deep Learning, Data Modeling, Computer Vision, Artificial Neural Networks, Machine Learning

      Advanced · Course · 1 - 4 Weeks

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

    • Create a RAG Application with BigQuery: Google Cloud
    • Mitigating Security Vulnerabilities on GC - Português: Google Cloud
    • Mastering WidgetKit in SwiftUI 4, iOS 16 with Dynamic Island: Packt
    • The Docker Masterclass for Beginners: Packt
    • Automation and Project Implementation in Azure Databricks: Packt
    • Responsible AI: Applying AI Principles with GC - Polski: Google Cloud
    • Replit Essentials: Collaborate, Create, and Code Smarter: Coursera Instructor Network
    • Introduction to AI and Machine Learning on GC - Deutsch: Google Cloud
    • GenAI for Compensation Analysis in Law Firms: Coursera Instructor Network
    • MERN eCommerce from Scratch: 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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