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  • Data Modeling

Data Modeling Courses

Data modeling courses can help you learn how to create data structures, define relationships between data elements, and ensure data integrity. You can build skills in normalization, schema design, and data visualization techniques. Many courses introduce tools like SQL for database management, ERD tools for visualizing data relationships, and software like Tableau for data analysis, showing how these skills are applied in practical work.


Popular Data Modeling Courses and Certifications


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    Coursera

    GenAI for Azure: AI-Powered Cloud Optimization Strategies

    Skills you'll gain: Microsoft Copilot, Generative AI, Cloud Management, Data Ethics, Microsoft Azure, Responsible AI, Cloud Computing Architecture, OpenAI, Business Process Automation, Cloud Security, Cloud Deployment, Scalability, Azure DevOps, AI Workflows, DevOps, Automation, Artificial Intelligence, Anomaly Detection

    Intermediate · Course · 1 - 4 Weeks

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    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, Commercialization, Product Lifecycle Management, Financial Modeling, Value Propositions, Proposal Writing, Innovation, Target Market, Market Opportunities, Ideation

    4.5
    Rating, 4.5 out of 5 stars
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    720 reviews

    Beginner · Specialization · 3 - 6 Months

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    Michigan State University

    Photography Basics and Beyond: From Smartphone to DSLR

    Skills you'll gain: Design Elements And Principles, Photography, Photo Editing, Peer Review, Creative Design, Graphic and Visual Design, Photo/Video Production and Technology, Image Quality, File Management, Creativity, Storytelling, Digital Publishing, Social Media, Content Creation, Copywriting, Information Privacy, Writing, Web Design and Development

    4.7
    Rating, 4.7 out of 5 stars
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    6.7K reviews

    Beginner · Specialization · 3 - 6 Months

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    EDUCBA

    Sentiment Analysis with RNNs in Keras

    Skills you'll gain: Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Model Evaluation, Natural Language Processing, Text Mining, Data Preprocessing, Deep Learning, Tensorflow, Google Cloud Platform, Matplotlib

    Mixed · Course · 1 - 4 Weeks

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    Northeastern University

    Applied Natural Language Processing in Engineering Part 2

    Skills you'll gain: Recurrent Neural Networks (RNNs), Large Language Modeling, Natural Language Processing, Hugging Face, PyTorch (Machine Learning Library), Transfer Learning, Artificial Neural Networks, Embeddings, Deep Learning, Applied Machine Learning, Markov Model

    Mixed · Course · 1 - 3 Months

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    Pearson

    Generative AI for Developers: Unit 3

    Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, Multimodal Prompts, Generative AI, OpenAI API, Generative Model Architectures, AI Workflows, Business Process Automation, Tool Calling, AI Enablement, Application Programming Interface (API), AI Personalization, Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), File I/O

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Generative AI Leader

    Skills you'll gain: Google Gemini, Retrieval-Augmented Generation, Generative AI, Gemini, AI Enablement, Enterprise Security, Agentic systems, Tool Calling, Customer experience improvement, LLM Application, Strategic Planning, Organizational Strategy, Cloud Infrastructure, Data Governance, Artificial Intelligence, Cloud Computing, Innovation, Business Strategy, MLOps (Machine Learning Operations), Collaboration

    Beginner · Specialization · 3 - 6 Months

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    Amazon Web Services

    AWS Cloud Practitioner Essentials

    Skills you'll gain: Amazon Web Services, Cloud Computing, Public Cloud, Cloud Infrastructure, Amazon Elastic Compute Cloud, Cloud Computing Architecture, Serverless Computing, Cloud Security, Amazon DynamoDB, Amazon S3, Databases, Data Storage, Network Architecture, Data Migration, Scalability

    4.8
    Rating, 4.8 out of 5 stars
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    2K reviews

    Beginner · Course · 3 - 6 Months

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    Coursera

    Mulesoft Integration on Salesforce Platform

    Skills you'll gain: OAuth, Salesforce Development, Authentications, Salesforce, Cloud Deployment, Cloud-Based Integration, Systems Integration, Application Programming Interface (API), Application Deployment, Data Integration, API Design, Data Mapping, Restful API, Application Performance Management, System Monitoring, Data Transformation, Secure Coding, Event Monitoring, Security Controls, Real Time Data

    Advanced · Course · 1 - 4 Weeks

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    EDUCBA

    CloverETL: Design, Analyze & Optimize Workflows

    Skills you'll gain: Data Mapping, Extract, Transform, Load, Data Validation, Workflow Management, JSON, Fraud detection, Extensible Markup Language (XML), Metadata Management, Process Design, Data Integration, Data Cleansing, Data Transformation, Data Pipelines, Data Processing, Data Modeling, Data Analysis

    Mixed · Course · 1 - 4 Weeks

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    Google Cloud

    Google Cloud Database Migrations: Strategy

    Skills you'll gain: Data Migration, Data Strategy, Google Cloud Platform, Technology Strategies, Data-Driven Decision-Making, Cloud Solutions, Risk Mitigation, Business Priorities, Enterprise Architecture, Cost Estimation, Governance, Stakeholder Engagement

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    AI for Brand Visibility

    Skills you'll gain: Prompt Engineering, Generative AI, Generative AI Agents, Marketing Design, Web Content Accessibility Guidelines, Marketing Materials, Brand Awareness, Marketing, Advertising Campaigns, Branding, Search Engine Optimization, Marketing Analytics, AI Workflows, Large Language Modeling

    Beginner · Course · 1 - 4 Weeks

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

  • GenAI for Azure: AI-Powered Cloud Optimization Strategies: Coursera
  • Product Ideation, Design, and Management: University of Maryland, College Park
  • Photography Basics and Beyond: From Smartphone to DSLR: Michigan State University
  • Sentiment Analysis with RNNs in Keras: EDUCBA
  • Applied Natural Language Processing in Engineering Part 2: Northeastern University
  • Generative AI for Developers: Unit 3: Pearson
  • Generative AI Leader: Google Cloud
  • AWS Cloud Practitioner Essentials: Amazon Web Services
  • Mulesoft Integration on Salesforce Platform: Coursera
  • CloverETL: Design, Analyze & Optimize Workflows: EDUCBA

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)

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