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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 Toronto

      Visual Perception for Self-Driving Cars

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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      580 reviews

      Advanced · Course · 1 - 3 Months

    • U

      University of California San Diego

      Big Data - Capstone Project

      Skills you'll gain: Statistical Reporting, Data Processing, Big Data, Technical Communication, Apache Spark, Splunk, Exploratory Data Analysis, Data Analysis, Analytics, Data Science, Data Manipulation, Analysis, Network Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      397 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      Universidad Austral

      Finanzas Corporativas

      Skills you'll gain: Financial Statement Analysis, Financial Modeling, Corporate Finance, Risk Modeling, Financial Analysis, Income Statement, Balance Sheet, Capital Budgeting, Risk Analysis, Cash Flow Forecasting, Risk Management, Investment Management, Financial Forecasting, Business Valuation, Cost Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      506 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California San Diego

      Code Free Data Science

      Skills you'll gain: Predictive Modeling, Data Manipulation, Predictive Analytics, Big Data, Data Mining, Data Transformation, Data Analysis, Data Science, Data-Driven Decision-Making, Unsupervised Learning, Statistical Analysis, Analytics, Software Installation

      4.3
      Rating, 4.3 out of 5 stars
      ·
      209 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Architecting with Google Compute Engine en Español

      Skills you'll gain: Cloud Infrastructure, Cloud Applications, Identity and Access Management, Google Cloud Platform, Application Deployment, Google App Engine, Infrastructure As A Service (IaaS), Microservices, Terraform, Kubernetes, Cloud Security, CI/CD, Cloud Computing, Load Balancing, Cloud Computing Architecture, Network Architecture, Data Storage, Infrastructure as Code (IaC), Service Level Agreement, Cloud Storage

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.6K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Q

      Queen Mary University of London

      Research Methodologies

      Skills you'll gain: Qualitative Research, Research Methodologies, Data Collection, Focus Group, Business Research, Market Research, Research Design, Sample Size Determination, Survey Creation, Interviewing Skills, Market Analysis, Consumer Behaviour

      4.7
      Rating, 4.7 out of 5 stars
      ·
      355 reviews

      Beginner · Course · 1 - 4 Weeks

    • M

      Microsoft

      Microsoft Azure Cosmos DB

      Skills you'll gain: Microsoft Azure, NoSQL, Database Administration, Database Systems, Cloud Storage, Data Storage, Cloud Services, Data Security, Data Management

      4.4
      Rating, 4.4 out of 5 stars
      ·
      98 reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Understanding Prostate Cancer

      Skills you'll gain: Patient Education and Support, Patient Treatment, General Medical Tests and Procedures, Treatment Planning, Surgery, Radiology, Clinical Trials, Anatomy, Risk Analysis, Medical Science and Research

      4.8
      Rating, 4.8 out of 5 stars
      ·
      705 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      T

      The University of Chicago

      Software Defined Networking

      Skills you'll gain: Software-Defined Networking, Computer Networking, Virtualization, Network Architecture, Network Administration, Network Switches, Network Routing, Network Security, Wide Area Networks, Data Centers, Application Programming Interface (API), Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      288 reviews

      Mixed · Course · 1 - 3 Months

    • T

      The Hong Kong University of Science and Technology

      Software Engineering: Modeling Software Systems using UML

      Skills you'll gain: Requirements Analysis, Unified Modeling Language, Object Oriented Design, Functional Requirement, Data Modeling, Systems Design, Object Oriented Programming (OOP), Systems Development Life Cycle, System Requirements, Software Development, Software Engineering, Software Systems

      4.5
      Rating, 4.5 out of 5 stars
      ·
      303 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Michigan

      Programación para todos (Introducción a Python)

      Skills you'll gain: Programming Principles, Software Installation, Scripting Languages, Scripting, Python Programming, Computer Programming, Computational Thinking, Data Structures, Development Environment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      242 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Introduction to Business Analytics with R

      Skills you'll gain: Tidyverse (R Package), Data Processing, Business Analytics, Data Transformation, Business Intelligence, Data Manipulation, R Programming, Business Analysis, Analytics, Data Cleansing, Exploratory Data Analysis, Data Visualization, Data Analysis, Statistical Programming, Data-Driven Decision-Making

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      284 reviews

      Beginner · Course · 1 - 4 Weeks

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    1…121122123…664

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

    • Visual Perception for Self-Driving Cars: University of Toronto
    • Big Data - Capstone Project: University of California San Diego
    • Finanzas Corporativas: Universidad Austral
    • Code Free Data Science: University of California San Diego
    • Architecting with Google Compute Engine en Español: Google Cloud
    • Research Methodologies: Queen Mary University of London
    • Microsoft Azure Cosmos DB: Microsoft
    • Understanding Prostate Cancer: Johns Hopkins University
    • Software Defined Networking: The University of Chicago
    • Software Engineering: Modeling Software Systems using UML: The Hong Kong University of Science and Technology

    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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