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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
      Free
      U

      University of Geneva

      Chemical Biology

      Skills you'll gain: Biochemistry, Molecular Biology, Bioinformatics, Chemistry, Experimentation, Laboratory Experience, Scientific Visualization, Biology, Laboratory Equipment, Image Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      145 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      IBM

      Specialized Models: Time Series and Survival Analysis

      Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Jupyter, Data Cleansing, Applied Machine Learning, Data Transformation, Exploratory Data Analysis, Pandas (Python Package)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      133 reviews

      Intermediate · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Simple Regression Analysis in Public Health

      Skills you'll gain: Biostatistics, Regression Analysis, Statistical Methods, Statistical Analysis, Epidemiology, Quantitative Research, Public Health, Data Analysis, Probability & Statistics, Statistical Inference

      4.7
      Rating, 4.7 out of 5 stars
      ·
      382 reviews

      Beginner · Course · 1 - 3 Months

    • E

      ESSEC Business School

      Foundations of marketing analytics

      Skills you'll gain: Marketing Analytics, Customer Analysis, Business Marketing, Advanced Analytics, Marketing Strategies, Business Analytics, Market Research, Customer Insights, R Programming, Data-Driven Decision-Making, Target Market, Data Analysis, Predictive Analytics, Statistical Analysis, Statistical Modeling, Predictive Modeling, Customer Relationship Management, Statistical Methods, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      760 reviews

      Mixed · Course · 1 - 3 Months

    • N

      New York University

      Guided Tour of Machine Learning in Finance

      Skills you'll gain: Supervised Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Financial Services, Finance, Tensorflow, Jupyter, Reinforcement Learning

      3.8
      Rating, 3.8 out of 5 stars
      ·
      678 reviews

      Intermediate · Course · 1 - 4 Weeks

    • E

      EIT Digital

      Web of Data

      Skills you'll gain: Semantic Web, Query Languages, Data Management, Data Integration, Data Sharing, Data Mining, Interoperability, Extensible Markup Language (XML), Web Services, Data Modeling

      4.1
      Rating, 4.1 out of 5 stars
      ·
      91 reviews

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Google Calendar

      Skills you'll gain: Google Workspace, Calendar Management, Setting Appointments, Collaborative Software, Organizational Skills, Productivity Software, Scheduling, Event Management, Data Sharing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      321 reviews

      Beginner · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Foundations of Healthcare Systems Engineering

      Skills you'll gain: Health Systems, Systems Engineering, Health Technology, Healthcare Industry Knowledge, Health Care, Systems Integration, Systems Analysis, System Requirements, System Testing, Requirements Analysis, Enterprise Architecture, Solution Design

      4.7
      Rating, 4.7 out of 5 stars
      ·
      281 reviews

      Mixed · Course · 1 - 4 Weeks

    • S

      Stanford University

      The AI Awakening: Implications for the Economy and Society

      Skills you'll gain: Generative AI, Workforce Development, OpenAI, Employee Training, Socioeconomics, Emerging Technologies, Artificial Intelligence, Large Language Modeling, Business Solutions, Economics, Innovation, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      85 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Data Engineering, Big Data and ML on Google Cloud 日本語版

      Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Data Lakes, Data Warehousing, Real Time Data, Data Management, Data Infrastructure, Cloud Engineering, Unstructured Data, Cloud Storage, MLOps (Machine Learning Operations), Applied Machine Learning, Tensorflow, Big Data, Data Visualization, Extract, Transform, Load, Dashboard, Data Architecture, Data Processing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      289 reviews

      Intermediate · Specialization · 3 - 6 Months

    • P

      Pontificia Universidad Católica de Chile

      Evaluación de Proyectos de Inversión

      Skills you'll gain: Financial Analysis, Capital Budgeting, Project Finance, Return On Investment, Financial Modeling, Investment Management, Cash Flows, Feasibility Studies, Risk Analysis, Business Strategy, Strategic Decision-Making

      4.9
      Rating, 4.9 out of 5 stars
      ·
      458 reviews

      Mixed · Course · 1 - 4 Weeks

    • E

      EDHEC Business School

      Python and Machine-Learning for Asset Management with Alternative Data Sets

      Skills you'll gain: Text Mining, Network Analysis, Data Visualization Software, Machine Learning Methods, Financial Data, Unstructured Data, Predictive Modeling, Web Scraping, Advanced Analytics, Financial Statements, Financial Market, Financial Analysis, Asset Management, Python Programming, Investment Management, Data Analysis, Risk Analysis, Consumer Behaviour

      4.4
      Rating, 4.4 out of 5 stars
      ·
      231 reviews

      Intermediate · Course · 1 - 4 Weeks

    Data Modeling learners also search

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

    • Chemical Biology: University of Geneva
    • Specialized Models: Time Series and Survival Analysis: IBM
    • Simple Regression Analysis in Public Health : Johns Hopkins University
    • Foundations of marketing analytics: ESSEC Business School
    • Guided Tour of Machine Learning in Finance: New York University
    • Web of Data: EIT Digital
    • Google Calendar: Google Cloud
    • Foundations of Healthcare Systems Engineering: Johns Hopkins University
    • The AI Awakening: Implications for the Economy and Society: Stanford University
    • Data Engineering, Big Data and ML on Google Cloud 日本語版: 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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