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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: Free Trial
      Free Trial
      S

      SkillUp EdTech

      Network Traffic Analysis with Wireshark

      Skills you'll gain: Network Analysis, Intrusion Detection and Prevention, Anomaly Detection, Incident Response, Cyber Security Assessment, Threat Detection, Network Monitoring, Distributed Denial-Of-Service (DDoS) Attacks, Real Time Data, Network Protocols, Vulnerability Assessments, TCP/IP, Technical Communication

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      System Analyst Capstone Project 

      Skills you'll gain:

      Advanced · Course

    • G

      Google Cloud

      Introduction to Data Engineering on Google Cloud - 简体中文

      Skills you'll gain: Data Pipelines, Data Sharing, Data Migration, Google Cloud Platform, Cloud Storage, Metadata Management, Extract, Transform, Load, Data Processing, Apache Airflow, Data Integration, Data Storage, Data Lakes, Automation, Serverless Computing, SQL

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI for Developers: Privacy & Safety - Español

      Skills you'll gain: Generative AI, Google Cloud Platform, Information Privacy, Cloud Security, Application Security, Personally Identifiable Information, Data Security, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Safety and Security

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Planning for a Google Workspace Deployment - Español

      Skills you'll gain: Data Migration, User Provisioning, Change Management, Organizational Change, Google Workspace, Email Security, Cloud Computing, System Implementation, End User Training and Support

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Interpretability & Transparency - Español

      Skills you'll gain: Data Ethics, Data Modeling, Data Analysis, Data Visualization Software, Artificial Intelligence, Machine Learning, Applied Machine Learning, Software Development Tools, Technical Documentation

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Build, Train and Deploy ML Models with Keras on Google Cloud - Italiano

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Processing, Data Cleansing, Data Transformation, Scalability, Feature Engineering, Data Pipelines, MLOps (Machine Learning Operations), Deep Learning, Artificial Neural Networks, Machine Learning, Application Programming Interface (API)

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Introduction to Gemini for Google Workspace - 简体中文

      Skills you'll gain: Google Workspace, Generative AI, Productivity Software, Data Ethics, Gmail, Ethical Standards And Conduct, Google Docs, Google Sheets

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Modernizing Data Lakes & Data Warehouses with GC - Italiano

      Skills you'll gain: Data Lakes, Data Warehousing, Google Cloud Platform, Data Infrastructure, Cloud Solutions, Cloud Storage, Data Architecture, Big Data, Data Processing, SQL, Data Analysis, Query Languages

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Smart Analytics, Machine Learning, and AI on GCP - Italiano

      Skills you'll gain: Google Cloud Platform, Unstructured Data, MLOps (Machine Learning Operations), Big Data, Data Pipelines, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Jupyter, Machine Learning, Predictive Modeling, Artificial Intelligence

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Getting Started with Application Development - Português

      Skills you'll gain: Cloud Applications, Cloud Development, Google Cloud Platform, Application Development, Data Store, Cloud Platforms, Cloud API, Cloud Storage, Public Cloud, Data Storage, Node.JS, Scalability

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Introduction to Data Engineering on Google Cloud - 日本語版

      Skills you'll gain: Data Sharing, Extract, Transform, Load, Cloud Storage, Google Cloud Platform, Data Migration, Data Pipelines, Data Import/Export, Big Data, Data Infrastructure, Data Warehousing, Apache Airflow, Data Storage, Data Processing, Data Management, Metadata Management, Automation, Serverless Computing

      Beginner · Course · 1 - 3 Months

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

    • Network Traffic Analysis with Wireshark: SkillUp EdTech
    • System Analyst Capstone Project : IBM
    • Introduction to Data Engineering on Google Cloud - 简体中文: Google Cloud
    • Responsible AI for Developers: Privacy & Safety - Español: Google Cloud
    • Planning for a Google Workspace Deployment - Español: Google Cloud
    • Responsible AI for Developers: Interpretability & Transparency - Español: Google Cloud
    • Build, Train and Deploy ML Models with Keras on Google Cloud - Italiano: Google Cloud
    • Introduction to Gemini for Google Workspace - 简体中文: Google Cloud
    • Modernizing Data Lakes & Data Warehouses with GC - Italiano: Google Cloud
    • Smart Analytics, Machine Learning, and AI on GCP - Italiano: 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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