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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

    • U

      University of Colorado Boulder

      Relational Database Design

      Skills you'll gain: Database Design, Database Management Systems, Relational Databases, Database Theory, Databases, Database Architecture and Administration, Data Modeling, Data Integrity, Requirements Elicitation, Technical Communication

      4.6
      Rating, 4.6 out of 5 stars
      ·
      292 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of London

      Responsive Web Design

      Skills you'll gain: Responsive Web Design, HTML and CSS, Web Design, Human Computer Interaction, Interaction Design, Bootstrap (Front-End Framework), Usability, User Interface and User Experience (UI/UX) Design, Wireframing, Data Structures, JavaScript Frameworks, Javascript

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.9K reviews

      Mixed · Course · 1 - 3 Months

    • E

      ESSEC Business School

      The Fundamentals of Revenue Management: The Cornerstone of Revenue Strategy

      Skills you'll gain: Revenue Management, Forecasting, Budgeting, Hospitality, Financial Forecasting, Hotel Operations, Strategic Marketing, Target Market, Market Dynamics, Consumer Behaviour, Competitive Analysis, Data-Driven Decision-Making

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

      Mixed · Course · 1 - 4 Weeks

    • M

      Microsoft

      Microsoft Azure Cosmos DB

      Skills you'll gain: Microsoft Azure, NoSQL, Data Store, Database Systems, Cloud Storage, Data Storage, Cloud Services, Data Security, Data Management, Application Programming Interface (API)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      98 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      Universidad Nacional Autónoma de México

      Evaluación educativa

      Skills you'll gain: Peer Review, Program Evaluation, Patient Evaluation, Curriculum Planning, Qualitative Research, Health Assessment, Pedagogy, Psychological Evaluations, Curriculum Development, Education and Training, Simulations, Instructional and Curriculum Design, Survey Creation, Instructional Strategies, Data Analysis Software, Student-Centred Learning, Higher Education, Statistical Analysis, Systems Thinking, Ethical Standards And Conduct

      4.8
      Rating, 4.8 out of 5 stars
      ·
      816 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Toronto

      Motion Planning for Self-Driving Cars

      Skills you'll gain: Algorithms, Computer Vision, Predictive Modeling, Scenario Testing, Data Structures, Spatial Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      480 reviews

      Advanced · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Introduction to Neurohacking In R

      Skills you'll gain: Magnetic Resonance Imaging, Medical Imaging, Image Analysis, Data Manipulation, Neurology, R Programming, Radiology, Data Processing, Scientific Visualization, Data Analysis Software

      4.6
      Rating, 4.6 out of 5 stars
      ·
      311 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Build a Machine Learning Web App with Streamlit and Python

      Skills you'll gain: Machine Learning Algorithms, Data Visualization, Dashboard, Interactive Data Visualization, Data Visualization Software, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Web Applications, Predictive Modeling, Classification And Regression Tree (CART), Python Programming, Pandas (Python Package)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      403 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Python 101: Develop Your First Python Program

      Skills you'll gain: Game Design, Program Development, Python Programming, Computer Programming, Scripting, Scripting Languages

      4.7
      Rating, 4.7 out of 5 stars
      ·
      243 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of Toronto

      Visual Perception for Self-Driving Cars

      Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Artificial Neural Networks, Artificial Intelligence, Machine Learning Algorithms, Machine Learning, Python Programming, NumPy, Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      580 reviews

      Advanced · Course · 1 - 3 Months

    • D

      Duke University

      Python and Pandas for Data Engineering

      Skills you'll gain: Pandas (Python Package), Version Control, Git (Version Control System), Data Manipulation, Software Development Tools, Development Environment, Data Structures, Python Programming, Data Analysis Software, NumPy, Data Import/Export, Integrated Development Environments, Virtual Environment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      241 reviews

      Beginner · Course · 1 - 4 Weeks

    • E

      EIT Digital

      Value Creation Through Innovation

      Skills you'll gain: Closing (Sales), Business Modeling, Cold Calling, Design Thinking, Customer Analysis, Entrepreneurship, Technology Roadmaps, Innovation, Sales Process, Market Research, Technology Strategies, Market Analysis, Target Market, Marketing, Business Strategy, Forecasting, Marketing Strategies, Strategic Planning, Competitive Analysis, Business Strategies

      4.6
      Rating, 4.6 out of 5 stars
      ·
      716 reviews

      Intermediate · Specialization · 3 - 6 Months

    Data Modeling learners also search

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

    • Relational Database Design: University of Colorado Boulder
    • Responsive Web Design: University of London
    • The Fundamentals of Revenue Management: The Cornerstone of Revenue Strategy: ESSEC Business School
    • Microsoft Azure Cosmos DB: Microsoft
    • Evaluación educativa: Universidad Nacional Autónoma de México
    • Motion Planning for Self-Driving Cars: University of Toronto
    • Introduction to Neurohacking In R: Johns Hopkins University
    • Build a Machine Learning Web App with Streamlit and Python: Coursera Project Network
    • Python 101: Develop Your First Python Program: Coursera Project Network
    • Visual Perception for Self-Driving Cars: University of Toronto

    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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