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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

      Gen AI: Unlock Foundational Concepts

      Skills you'll gain: Generative AI, Data Management, Google Cloud Platform, Unstructured Data, Large Language Modeling, Data-Driven Decision-Making, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Business Logic, Artificial Intelligence, Deep Learning, Machine Learning, Innovation, Data Security

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      U

      Universidades Anáhuac

      Blockchain Aplicado a los Negocios

      Skills you'll gain: Blockchain, Internet Of Things, Business Technologies, Emerging Technologies, Business Operations, Cryptography, Supply Chain Management, HR Tech, Business Process, Cybersecurity, Security Controls, Contract Management, Automation, Data Storage, Strategic Decision-Making

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Cisco Certified DevNet Associate (200-901)

      Skills you'll gain: Software Development Methodologies, Open Web Application Security Project (OWASP), Infrastructure as Code (IaC), Application Deployment, CI/CD, Docker (Software), Network Troubleshooting, Restful API, Containerization, Development Environment, DevOps, Cloud Development, Software Engineering, Version Control, Computing Platforms, Software Development, Network Administration, General Networking, Software-Defined Networking, OSI Models

      Intermediate · Specialization · 1 - 3 Months

    • G

      Google Cloud

      Security Best Practices in Google Cloud - Português

      Skills you'll gain: Identity and Access Management, Cloud Security, Google Cloud Platform, Kubernetes, OAuth, Security Controls, Role-Based Access Control (RBAC), Authentications, Application Security, Cloud Storage, Authorization (Computing), Data Security, Vulnerability Scanning, Data Encryption Standard, Virtual Machines, Key Management

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      B

      Board Infinity

      Generative AI in Marketing

      Skills you'll gain: AI Personalization, Generative AI, Marketing Automation, Marketing, Data Ethics, MarTech, ChatGPT, Marketing Strategies, Campaign Management, Email Marketing, Prompt Engineering, Content Creation, Advanced Analytics, Digital Advertising, Predictive Analytics, Artificial Intelligence, Business Ethics, Natural Language Processing, Video Production, Computer Vision

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Google Cloud Customer Care Fundamentals - Italiano

      Skills you'll gain: Google Cloud Platform, Service Level, Technical Support and Services, Technical Support, Cloud Services, Technical Communication, Identity and Access Management, File Management, Incident Management, Personally Identifiable Information

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Preparing for Your Professional Cloud Security Engineer Journey - 日本語版

      Skills you'll gain: Cloud Security, Identity and Access Management, Network Security, Data Security, Security Controls, Firewall, Payment Card Industry (PCI) Data Security Standards, Google Cloud Platform, Cloud Computing Architecture, Encryption, CI/CD, Incident Response

      Beginner · Course · 1 - 3 Months

    • S

      SAE Institute México

      Inteligencia Artificial para personajes en Unreal Engine

      Skills you'll gain: Unreal Engine, Animation and Game Design, 3D Modeling, Animations, Video Game Development, Game Design, Artificial Intelligence, Blueprinting, Computer Programming Tools

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Enfoques emergentes para medir la salud de la población

      Skills you'll gain: Health Policy, Epidemiology, Public Health, Survey Creation, Health Informatics, Data Collection, Health Equity, Health Disparities, Health Information Management, Continuous Monitoring

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Terraform Masterclass: From Beginner to Advanced

      Skills you'll gain: AWS Identity and Access Management (IAM), Infrastructure as Code (IaC), Terraform, Amazon Web Services, Infrastructure Security, Continuous Deployment, Amazon Elastic Compute Cloud, Cloud Infrastructure, Cloud Management, Command-Line Interface, Amazon S3, Data Validation, Development Environment, GitHub, OAuth, Configuration Management, Testability, Version Control, Application Deployment, Maintainability

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      U

      University of Colorado Boulder

      Introduction to Bayesian Statistics for Data Science

      Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Statistical Methods, Data Ethics, Data Science, Probability, Regression Analysis, Analytical Skills, Probability Distribution

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of Maryland, College Park

      Digital Marketing 2

      Skills you'll gain: Pay Per Click Advertising, Marketing Analytics, Search Engine Optimization, Analytics, Big Data, Google Analytics, Digital Marketing, Search Engine Marketing, Paid media, Web Analytics, Web Analytics and SEO, Online Advertising, Digital Advertising, Marketing Effectiveness, A/B Testing, Applied Machine Learning, Marketing Automation, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

      Intermediate · Course · 1 - 4 Weeks

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

    • Gen AI: Unlock Foundational Concepts: Google Cloud
    • Blockchain Aplicado a los Negocios: Universidades Anáhuac
    • Cisco Certified DevNet Associate (200-901): Packt
    • Security Best Practices in Google Cloud - Português: Google Cloud
    • Generative AI in Marketing: Board Infinity
    • Google Cloud Customer Care Fundamentals - Italiano: Google Cloud
    • Preparing for Your Professional Cloud Security Engineer Journey - 日本語版: Google Cloud
    • Inteligencia Artificial para personajes en Unreal Engine: SAE Institute México
    • Enfoques emergentes para medir la salud de la población: Johns Hopkins University
    • Terraform Masterclass: From Beginner to Advanced: 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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