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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

    • V

      Vanderbilt University

      ChatGPT Advanced Data Analysis

      Skills you'll gain: Prompt Engineering, Data Presentation, ChatGPT, Document Management, Artificial Intelligence, Microsoft Excel, Problem Solving, Data Analysis, Generative AI, Information Management, File Management, Creativity, Automation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      757 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado System

      Clinical Data Science

      Skills you'll gain: Tidyverse (R Package), Clinical Data Management, Extract, Transform, Load, Data Modeling, Clinical Research, R Programming, Data Manipulation, Predictive Modeling, Database Design, Google Cloud Platform, Intensive Care Unit, Data Ethics, Data Quality, Risk Modeling, Natural Language Processing, Health Informatics, Statistical Modeling, Bioinformatics, Text Mining, Data Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      468 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      M

      Microsoft

      Microsoft Data Visualization

      Skills you'll gain: Data Storytelling, Data Analysis Expressions (DAX), Data Presentation, Power BI, Data Ethics, Dashboard, Data Visualization Software, Data Modeling, Data Governance, Extract, Transform, Load, Interactive Data Visualization, Business Intelligence, Data Analysis, Statistical Analysis, Data Architecture, Correlation Analysis, Data Cleansing, Data Transformation, Database Design, Statistical Visualization

      4.6
      Rating, 4.6 out of 5 stars
      ·
      59 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • A

      Amazon Web Services

      Getting Started with Data Analytics on AWS

      Skills you'll gain: Descriptive Analytics, Analytics, Data Analysis, Dashboard, Data Literacy, AWS Identity and Access Management (IAM), Data Visualization, Amazon Web Services, Big Data, Amazon S3, Business Intelligence, Cloud Computing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      887 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google

      Crash Course on Python

      Skills you'll gain: Programming Principles, Scripting, Python Programming, Computer Programming, Computational Thinking, Algorithms, Data Structures, Integrated Development Environments, Debugging, Development Environment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      39K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Pennsylvania

      Introduction to Finance and Accounting

      Skills you'll gain: Financial Statements, Return On Investment, Financial Statement Analysis, Financial Reporting, Capital Budgeting, Financial Accounting, Financial Modeling, Working Capital, Balance Sheet, Accrual Accounting, Cash Flows, Income Statement, Finance, Accounting, Financial Analysis, Tax Planning, Equities, Financial Planning, Business Valuation, Corporate Finance

      4.6
      Rating, 4.6 out of 5 stars
      ·
      14K reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Security in Google Cloud

      Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Identity and Access Management, Data Loss Prevention, Distributed Denial-Of-Service (DDoS) Attacks, Prompt Engineering, Kubernetes, Cloud Security, Containerization, OAuth, Cloud Storage, Cloud Services, Application Deployment, Virtual Machines, Security Controls, Cloud Computing, Application Development, Data Storage Technologies, Threat Management, Virtual Private Networks (VPN)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      49K reviews

      Intermediate · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Introduction to Generative AI Learning Path

      Skills you'll gain: Large Language Modeling, Generative AI, Prompt Engineering, Data Ethics, Google Cloud Platform, Business Ethics, Application Development, Artificial Intelligence, Accountability, Regulatory Compliance, Compliance Training, Ethical Standards And Conduct, Data Governance, Artificial Intelligence and Machine Learning (AI/ML), Governance, Organizational Effectiveness, Machine Learning, Machine Learning Methods, Decision Making

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8.9K reviews

      Intermediate · Specialization · 1 - 3 Months

    • G

      Google

      Analyze Data to Answer Questions

      Skills you'll gain: Data Validation, Spreadsheet Software, Data Analysis, Analytics, Data Manipulation, Excel Formulas, Data Compilation, Pivot Tables And Charts, SQL, Data Integration, Data Transformation, User Feedback

      4.6
      Rating, 4.6 out of 5 stars
      ·
      12K reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Preparing for Google Cloud Certification: Cloud DevOps Engineer

      Skills you'll gain: Site Reliability Engineering, Kubernetes, Application Performance Management, Google Cloud Platform, Cloud Infrastructure, System Monitoring, Prompt Engineering, Application Deployment, Identity and Access Management, DevOps, CI/CD, Containerization, Cloud Storage, Cloud Security, Cloud Services, Cloud Management, Service Level Agreement, Safety Culture, Event Monitoring, Culture Transformation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      54K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I
      I

      Multiple educators

      IBM and ISC2 Cybersecurity Specialist

      Skills you'll gain: Network Security, Incident Response, Cloud Computing Architecture, Penetration Testing, Computer Security Incident Management, Cloud Services, Security Controls, Business Continuity, Disaster Recovery, Information Assurance, Peripheral Devices, Cybersecurity, Configuration Management, Computing Platforms, Cloud Security, Cloud Infrastructure, Network Troubleshooting, Cloud Platforms, Encryption, Data Storage

      4.7
      Rating, 4.7 out of 5 stars
      ·
      13K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Illinois Urbana-Champaign

      Object-Oriented Data Structures in C++

      Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Development Environment, Engineering Software, Computer Programming, Software Engineering, Data Structures, Debugging, Program Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3K reviews

      Intermediate · Course · 1 - 4 Weeks

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    1…151617…665

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

    • ChatGPT Advanced Data Analysis: Vanderbilt University
    • Clinical Data Science: University of Colorado System
    • Microsoft Data Visualization: Microsoft
    • Getting Started with Data Analytics on AWS: Amazon Web Services
    • Crash Course on Python: Google
    • Introduction to Finance and Accounting: University of Pennsylvania
    • Security in Google Cloud: Google Cloud
    • Introduction to Generative AI Learning Path: Google Cloud
    • Analyze Data to Answer Questions: Google
    • Preparing for Google Cloud Certification: Cloud DevOps Engineer: Google Cloud

    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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