Data Modeling

Data Modeling is a method used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations. Coursera's data modeling catalogue teaches you how to design and implement data models, which are key in visualizing and managing business data. You'll learn about various concepts such as Entity-Relationship (ER) models, normalization processes, database design, data warehousing, and business intelligence. Moreover, you'll acquire skills in using data modeling tools and techniques to manage complex business data systems and support the decision-making process, vital for roles such as data scientists, business analysts, data architects, and database administrators.
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Explore the Data Modeling Course Catalog

  • Status: New

    Skills you'll gain: Responsible AI, Generative AI, Large Language Modeling, Google Cloud Platform, Unstructured Data, Artificial Intelligence, Application Security, Data Modeling, Data Quality, Data Access, Machine Learning, Business Solutions

  • Status: Free Trial

    Skills you'll gain: Node.JS, Secure Coding, Application Programming Interface (API), API Design, Authentications, Server Side, MongoDB, Restful API, Full-Stack Web Development, Development Environment, Back-End Web Development, Package and Software Management, Database Development, Databases, Middleware, Authorization (Computing), JSON, User Accounts, Data Modeling

  • Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Feature Engineering, Data Modeling, Data Storage, Continuous Deployment, Data Processing, Data Management, Data Quality

  • Status: New

    Skills you'll gain: Responsible AI, Generative AI, Large Language Modeling, Google Cloud Platform, AI Product Strategy, Data Modeling, Artificial Intelligence, Unstructured Data, Machine Learning, Data Quality, Data Security

  • Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Feature Engineering, Data Processing, Data Modeling, Data Management, Data Storage Technologies, Data Storage, Machine Learning Methods

  • Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence, Data Modeling, Machine Learning, Exploratory Data Analysis

  • Skills you'll gain: Data Ethics, Responsible AI, Data Modeling, Data Analysis, MLOps (Machine Learning Operations), Artificial Intelligence, Applied Machine Learning, Machine Learning

  • Skills you'll gain: MLOps (Machine Learning Operations), Data Processing, Google Cloud Platform, Data Modeling, Data Management, Data Storage, Data Import/Export, Applied Machine Learning, Scalability

  • Skills you'll gain: MLOps (Machine Learning Operations), Data Store, Google Cloud Platform, Feature Engineering, Data Modeling, Machine Learning Methods, Data Storage, Data Processing, Applied Machine Learning, Data Quality

  • Skills you'll gain: Responsible AI, Artificial Intelligence, Data Ethics, Data Modeling, Machine Learning

  • Skills you'll gain: Predictive Analytics, Big Data, Predictive Modeling, Advanced Analytics, Analytics, Applied Machine Learning, Google Cloud Platform, MLOps (Machine Learning Operations), Data Analysis, Machine Learning Methods, Data Modeling

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