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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

    • E

      EDHEC Business School

      Introduction to Portfolio Construction and Analysis with Python

      Skills you'll gain: Investment Management, Portfolio Management, Asset Management, Risk Analysis, Financial Modeling, Risk Management, Financial Analysis, NumPy, Probability Distribution, Python Programming, Simulations, Pandas (Python Package), Matplotlib, Data Manipulation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.4K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      I

      IBM

      Generative AI for Executives and Business Leaders

      Skills you'll gain: Prompt Engineering, Risk Mitigation, Generative AI, Risk Analysis, Feasibility Studies, Data Ethics, Brainstorming, Generative AI Agents, Business Priorities, Return On Investment, Data Strategy, Business Leadership, Goal Setting, Artificial Intelligence, Business Solutions, Ideation, Business Strategy, Scalability, Business Transformation, Business Ethics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      430 reviews

      Intermediate · Specialization · 1 - 4 Weeks

    • U

      University of Minnesota

      Analytics for Decision Making

      Skills you'll gain: Time Series Analysis and Forecasting, Simulations, Operations Research, Probability Distribution, Mathematical Modeling, Supply Chain, Probability, Predictive Modeling, Business Modeling, Business Analytics, Analytics, Regression Analysis, Microsoft Excel, Forecasting, Data Modeling, Process Optimization, Data-Driven Decision-Making, Statistics, Business Mathematics, Manufacturing Operations

      4.7
      Rating, 4.7 out of 5 stars
      ·
      259 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Pennsylvania

      AI Applications in Marketing and Finance

      Skills you'll gain: AI Personalization, Big Data, Credit Risk, Risk Management, Personalized Service, Digital Transformation, Business Risk Management, Customer Insights, Machine Learning, Marketing Analytics, Data Mining, Customer Engagement, Risk Analysis, Advanced Analytics, Data-Driven Decision-Making, Anomaly Detection, MarTech, Financial Data, Consumer Behaviour, Customer experience improvement

      4.6
      Rating, 4.6 out of 5 stars
      ·
      392 reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      Pattern Discovery in Data Mining

      Skills you'll gain: Data Mining, Big Data, Anomaly Detection, Text Mining, Unstructured Data, Spatial Analysis, Advanced Analytics, Image Analysis, Algorithms, Information Privacy

      4.3
      Rating, 4.3 out of 5 stars
      ·
      325 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Maryland, College Park

      Product Ideation, Design, and Management

      Skills you'll gain: Stakeholder Management, Product Management, Product Development, New Product Development, Wireframing, Financial Statements, Product Design, User Experience Design, Team Leadership, Prototyping, Competitive Analysis, Financial Modeling, Value Propositions, Proposal Writing, Innovation, Corporate Finance, Target Market, Market Opportunities, Ideation, Product Improvement

      4.5
      Rating, 4.5 out of 5 stars
      ·
      680 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Data Science Foundations: Statistical Inference

      Skills you'll gain: Statistical Hypothesis Testing, Probability, Probability & Statistics, Statistical Inference, Statistical Methods, Probability Distribution, Bayesian Statistics, Statistical Modeling, Sampling (Statistics), Statistical Analysis, Data Ethics, Data Science, Quantitative Research, Statistics, Sample Size Determination, Descriptive Statistics, Correlation Analysis

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      322 reviews

      Intermediate · Specialization · 3 - 6 Months

    • G

      Google Cloud

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

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, MLOps (Machine Learning Operations), Application Deployment, Deep Learning, Artificial Neural Networks, Data Processing, Scalability, Applied Machine Learning, Machine Learning, Data Transformation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.8K reviews

      Intermediate · Course · 1 - 3 Months

    • N

      Northwestern University

      Modern Robotics, Course 1: Foundations of Robot Motion

      Skills you'll gain: Engineering, Mechanics, Mathematical Modeling, Torque (Physics), Simulation and Simulation Software, Matlab, Linear Algebra, Angular

      4.7
      Rating, 4.7 out of 5 stars
      ·
      987 reviews

      Intermediate · Course · 1 - 3 Months

    • W

      Whizlabs

      Exam Prep (DEA-C01): AWS Certified Data Engineer - Associate

      Skills you'll gain: AWS SageMaker, AWS CloudFormation, Amazon S3, Serverless Computing, Amazon DynamoDB, Amazon CloudWatch, Cloud Security, Data Security, Amazon Redshift, AWS Kinesis, Data Integration, Cloud Storage, Amazon Web Services, Data Lakes, Data Storage, Databases, Apache Airflow, Cloud Computing Architecture, Infrastructure as Code (IaC), Cloud Engineering

      4.7
      Rating, 4.7 out of 5 stars
      ·
      10 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      U

      Universidade Estadual de Campinas

      Revisão Sistemática e Meta-análise

      Skills you'll gain: Data Synthesis, Data Collection, Scientific Methods, Research, Research Design, Research Reports, Research Methodologies, Quantitative Research, Clinical Research, Peer Review, Data Quality, Report Writing, Epidemiology, Statistical Analysis, Qualitative Research, Risk Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Introduction to Python

      Skills you'll gain: Data Science, Web Development, Python Programming, Programming Principles, Artificial Intelligence, Computational Thinking, Computer Programming, Application Development, Scientific Visualization

      4.5
      Rating, 4.5 out of 5 stars
      ·
      2.2K reviews

      Beginner · Guided Project · Less Than 2 Hours

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

    • Introduction to Portfolio Construction and Analysis with Python: EDHEC Business School
    • Generative AI for Executives and Business Leaders: IBM
    • Analytics for Decision Making: University of Minnesota
    • AI Applications in Marketing and Finance: University of Pennsylvania
    • Pattern Discovery in Data Mining: University of Illinois Urbana-Champaign
    • Product Ideation, Design, and Management: University of Maryland, College Park
    • Data Science Foundations: Statistical Inference: University of Colorado Boulder
    • Build, Train and Deploy ML Models with Keras on Google Cloud: Google Cloud
    • Modern Robotics, Course 1: Foundations of Robot Motion: Northwestern University
    • Exam Prep (DEA-C01): AWS Certified Data Engineer - Associate: Whizlabs

    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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