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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 Illinois at Urbana-Champaign

      Mergers & Acquisitions Graduate Certificate

      Skills you'll gain: Data Visualization, Data Storytelling, Management Accounting, Fund Accounting, Operations Management, Mergers & Acquisitions, Financial Statement Analysis, Marketing, Risk Management, Machine Learning Algorithms, Business Strategy, Extract, Transform, Load, Financial Auditing, Descriptive Statistics, Marketing Analytics, Financial Market, Strategic Decision-Making, Corporate Tax, Global Marketing, Organizational Change

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • U

      University of Illinois at Urbana-Champaign

      Business Analytics Graduate Certificate

      Skills you'll gain: Data Visualization, Data Storytelling, Management Accounting, Fund Accounting, Operations Management, Mergers & Acquisitions, Financial Statement Analysis, Marketing, Risk Management, Machine Learning Algorithms, Business Strategy, Extract, Transform, Load, Financial Auditing, Descriptive Statistics, Marketing Analytics, Financial Market, Strategic Decision-Making, Corporate Tax, Global Marketing, Organizational Change

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • U

      University of London

      Graduate Diploma in Computer Science

      Skills you'll gain: Virtual Reality, Human Computer Interaction, React Native, Agile Software Development, Data Ethics, Git (Version Control System), Event-Driven Programming, Network Security, Web Applications, Computer Graphics, Data Science, Natural Language Processing, Unsupervised Learning, Combinatorics, Database Design, Data Processing, Web Development, Generative AI, Usability Testing, Development Environment

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • U

      University of Illinois at Urbana-Champaign

      Master of Business Administration (iMBA)

      Skills you'll gain: Data Visualization, Data Storytelling, Management Accounting, Fund Accounting, Operations Management, Mergers & Acquisitions, Financial Statement Analysis, Marketing, Risk Management, Machine Learning Algorithms, Business Strategy, Extract, Transform, Load, Financial Auditing, Descriptive Statistics, Marketing Analytics, Financial Market, Strategic Decision-Making, Data Collection, Corporate Tax, Global Marketing

      Earn a degree

      Degree · 1 - 4 Years

    • P

      Pontificia Universidad Católica de Chile

      Magíster en Ciencia de Datos

      Skills you'll gain: Revenue Management, Data Ethics, Customer Analysis, Descriptive Analytics, FinTech, Database Design, People Analytics, Time Series Analysis and Forecasting, Biostatistics, Predictive Analytics, Statistical Reporting, Unsupervised Learning, Digital Transformation, Deep Learning, Risk Analysis, Bayesian Statistics, Exploratory Data Analysis, Cloud Security, Network Model, Web Scraping

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of London

      Bachelor of Science in Computer Science

      Skills you'll gain: Virtual Reality, Human Computer Interaction, React Native, Agile Software Development, Data Ethics, Git (Version Control System), Event-Driven Programming, Network Security, Web Applications, Computer Graphics, Data Science, Natural Language Processing, Unsupervised Learning, Combinatorics, Database Design, Data Processing, Web Development, Generative AI, Usability Testing, Development Environment

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      P

      Packt

      Modern C++ Features & Concurrency

      Skills you'll gain: C++ (Programming Language), System Programming, Performance Tuning, File Management, Algorithms, Data Sharing

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Menggunakan BigQuery Machine Learning untuk Inferensi

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Illinois at Urbana-Champaign

      CPA Pathways Graduate Certificate

      Skills you'll gain: Data Visualization, Data Storytelling, Management Accounting, Fund Accounting, Operations Management, Mergers & Acquisitions, Financial Statement Analysis, Marketing, Risk Management, Machine Learning Algorithms, Business Strategy, Extract, Transform, Load, Financial Auditing, Descriptive Statistics, Marketing Analytics, Financial Market, Strategic Decision-Making, Corporate Tax, Global Marketing, Organizational Change

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • Status: New
      New
      P

      Packt

      Flutter & Dart - Complete App Development Course

      Intermediate · Specialization · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Advanced Object-Oriented & Generic Programming in C++

      Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Software Design Patterns, Data Structures, Algorithms, File Systems, Performance Tuning, Debugging

      Intermediate · Course · 1 - 3 Months

    • U

      University of Illinois at Urbana-Champaign

      Master of Science in Management

      Skills you'll gain: Data Visualization, Data Storytelling, Management Accounting, Fund Accounting, Operations Management, Mergers & Acquisitions, Financial Statement Analysis, Marketing, Risk Management, Machine Learning Algorithms, Business Strategy, Extract, Transform, Load, Financial Auditing, Descriptive Statistics, Marketing Analytics, Financial Market, Strategic Decision-Making, Corporate Tax, Global Marketing, Organizational Change

      Earn a degree

      Degree · 1 - 4 Years

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

    • Mergers & Acquisitions Graduate Certificate: University of Illinois at Urbana-Champaign
    • Business Analytics Graduate Certificate: University of Illinois at Urbana-Champaign
    • Graduate Diploma in Computer Science: University of London
    • Master of Business Administration (iMBA): University of Illinois at Urbana-Champaign
    • Magíster en Ciencia de Datos: Pontificia Universidad Católica de Chile
    • Bachelor of Science in Computer Science: University of London
    • Modern C++ Features & Concurrency: Packt
    • Menggunakan BigQuery Machine Learning untuk Inferensi: Google Cloud
    • CPA Pathways Graduate Certificate: University of Illinois at Urbana-Champaign
    • Flutter & Dart - Complete App Development Course: 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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