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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

    • A

      Amazon Web Services

      Building Data Lakes on AWS

      Skills you'll gain: Data Lakes, Data Visualization, Data Architecture, Amazon Web Services, Data Infrastructure, Data Warehousing, Data Processing, Amazon S3, Query Languages, AWS Identity and Access Management (IAM), Data Management, Data Transformation, Data Governance, Data Import/Export, Data Storage

      4.7
      Rating, 4.7 out of 5 stars
      ·
      291 reviews

      Beginner · Course · 1 - 3 Months

    • M

      Microsoft

      Excel and Copilot Fundamentals

      Skills you'll gain: Prompt Engineering, Excel Formulas, Microsoft Copilot, Microsoft Excel, Data Visualization, Data Analysis, Data Entry, Data Presentation, Spreadsheet Software, UI Components, Data Manipulation

      4
      Rating, 4 out of 5 stars
      ·
      71 reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Developing AI Applications with Python and Flask

      Skills you'll gain: Unit Testing, Application Deployment, Flask (Web Framework), Software Testing, Application Development, Python Programming, Package and Software Management, Web Applications, Application Programming Interface (API), Natural Language Processing, Artificial Intelligence, IBM Cloud, Programming Principles, Style Guides

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • M

      Microsoft

      Introduction to Computers and Operating Systems and Security

      Skills you'll gain: Computer Systems, Business Software, Operating Systems, Generative AI, Business Systems, Cybersecurity, Enterprise Security, Servers, Computer Hardware, Information Systems Security, Data Storage, Patch Management, Microsoft 365, Artificial Intelligence

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • M

      Microsoft

      Microsoft Azure AI Fundamentals AI-900 Exam Prep

      Skills you'll gain: Anomaly Detection, Image Analysis, Text Mining, Unsupervised Learning, Computer Vision, Artificial Intelligence, Natural Language Processing, Microsoft Azure, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Large Language Modeling, Regression Analysis, Predictive Modeling, Machine Learning Methods, Statistical Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Automation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      IA Para Todos (Español)

      Skills you'll gain: Market Opportunities, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Strategic Thinking, Artificial Neural Networks, Data Science, Business Intelligence, Deep Learning, Machine Learning, Business Transformation, Computer Vision

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Toronto

      Introduction to GIS Mapping

      Skills you'll gain: ArcGIS, Spatial Data Analysis, Geographic Information Systems, Geospatial Mapping, Data Mapping, Global Positioning Systems, Data Modeling, Data Capture

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.2K reviews

      Beginner · Course · 1 - 3 Months

    • M

      Microsoft

      Microsoft PL-300 Exam Preparation and Practice

      Skills you'll gain: Power BI, Microsoft Copilot, Data Visualization Software, Data Storytelling, Data Modeling, Interactive Data Visualization, Data Analysis, Microsoft Power Platform, Microsoft Azure, Extract, Transform, Load, Data Transformation, Data Cleansing, Data Security

      4.6
      Rating, 4.6 out of 5 stars
      ·
      450 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      W

      Whizlabs

      Data Governance with Databricks

      Skills you'll gain: Data Governance, Extract, Transform, Load, Metadata Management, Role-Based Access Control (RBAC), Data Cleansing, Databricks, Data Management, Data Lakes, Data Pipelines, Amazon Web Services, Data Migration, Data Architecture, Data Security, Personally Identifiable Information, Data Warehousing, Data Quality, General Data Protection Regulation (GDPR), Data Capture

      3.5
      Rating, 3.5 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 4 Weeks

    • S

      Stanford University

      Fundamentals of Machine Learning for Healthcare

      Skills you'll gain: Healthcare Ethics, Data Ethics, Statistical Machine Learning, Applied Machine Learning, Machine Learning, Artificial Neural Networks, Healthcare Industry Knowledge, Health Care, Health Technology, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Reinforcement Learning, Health Informatics, Deep Learning, Data Processing, Image Analysis, Data Quality

      4.8
      Rating, 4.8 out of 5 stars
      ·
      550 reviews

      Beginner · Course · 1 - 3 Months

    • M

      Microsoft

      Explore Core Data Concepts in Microsoft Azure

      Skills you'll gain: Microsoft Azure, Data Processing, Databases, Database Systems, Data Storage, Database Management, Relational Databases, Query Languages, NoSQL, Transaction Processing, Data Management, Cloud Computing, Data Analysis, Unstructured Data, Data Visualization Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      452 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Corporate Finance Institute

      SQL Fundamentals for Data Analysts

      Skills you'll gain: SQL, Databases, Data Manipulation, Data Analysis, Relational Databases, Business Intelligence, Query Languages, Data Warehousing, Data Transformation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      32 reviews

      Beginner · Course · 1 - 3 Months

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

    • Building Data Lakes on AWS: Amazon Web Services
    • Excel and Copilot Fundamentals: Microsoft
    • Developing AI Applications with Python and Flask: IBM
    • Introduction to Computers and Operating Systems and Security: Microsoft
    • Microsoft Azure AI Fundamentals AI-900 Exam Prep: Microsoft
    • IA Para Todos (Español): DeepLearning.AI
    • Introduction to GIS Mapping: University of Toronto
    • Microsoft PL-300 Exam Preparation and Practice: Microsoft
    • Data Governance with Databricks: Whizlabs
    • Fundamentals of Machine Learning for Healthcare: Stanford University

    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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