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Data Architecture Courses Online

Learn data architecture for organizing and managing data. Understand data modeling, database design, and data integration.

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Explore the Data Architecture Course Catalog

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Artificial Neural Networks, Computer Vision, Supervised Learning, Machine Learning, Network Architecture

    4.4
    Rating, 4.4 out of 5 stars
    ·
    68 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    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
    ·
    679 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    F

    Fractal Analytics

    GenAI for Everyone

    Skills you'll gain: Generative AI, ChatGPT, Responsible AI, Artificial Intelligence, AI Personalization, Operational Efficiency, Human Centered Design, Ethical Standards And Conduct, Application Development, Natural Language Processing, Strategic Thinking, Problem Solving, Critical Thinking

    4.4
    Rating, 4.4 out of 5 stars
    ·
    444 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Introduction to Recommender Systems: Non-Personalized and Content-Based

    Skills you'll gain: Taxonomy, AI Personalization, Spreadsheet Software, Machine Learning, Predictive Analytics, Microsoft Excel, Statistical Methods, Persona Development, Text Mining, Descriptive Statistics, Data Collection, Algorithms, Computer Programming, Java

    4.4
    Rating, 4.4 out of 5 stars
    ·
    654 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning and Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Generative Model Architectures, Deep Learning, Unsupervised Learning, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning Algorithms, Machine Learning, Artificial Intelligence, Computer Vision, Applied Machine Learning, Dimensionality Reduction, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    264 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Build Better Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Responsible AI, Data Ethics, Deep Learning, Machine Learning, Image Quality, Image Analysis, Artificial Neural Networks, Performance Testing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    683 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Identifying the Right Role for Yourself

    Skills you'll gain: Artificial Intelligence, Machine Learning, Data Science, Data Analysis, Data Architecture, Needs Assessment, Big Data, System Requirements, Analytical Skills, Business Analysis, Cloud Computing Architecture, Cloud Engineering

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Predictive Modeling, Machine Learning, Statistical Modeling, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Feature Engineering, Statistical Analysis, Performance Metric

    4.7
    Rating, 4.7 out of 5 stars
    ·
    780 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    Introduction to Statistical Analysis: Hypothesis Testing

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, SAS (Software), Regression Analysis, Statistical Methods, Probability & Statistics, Statistical Modeling, Plot (Graphics), Data Analysis, Statistical Inference

    4.7
    Rating, 4.7 out of 5 stars
    ·
    170 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Introduction to Predictive Modeling

    Skills you'll gain: Time Series Analysis and Forecasting, Predictive Modeling, Regression Analysis, Microsoft Excel, Forecasting, Pivot Tables And Charts, Data Transformation, Trend Analysis, Predictive Analytics, Data Cleansing, Statistical Methods, Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
    ·
    137 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    R

    Rice University

    Introduction à l'analyse de données à l'aide d'Excel

    Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Spreadsheet Software, Excel Formulas, Data Visualization Software, Graphing, Data Analysis, Scatter Plots, Histogram, Data Manipulation, Data Import/Export

    4.5
    Rating, 4.5 out of 5 stars
    ·
    20 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Structured Approach to Problem Solving

    Skills you'll gain: Human Centered Design, Problem Solving, Critical Thinking, Analytical Skills, Data Science, Complex Problem Solving, Creative Problem-Solving, Decision Making, Data Analysis, Empathy

    4.7
    Rating, 4.7 out of 5 stars
    ·
    146 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Deep Learning with PyTorch: IBM
  • Guided Tour of Machine Learning in Finance: New York University
  • GenAI for Everyone: Fractal Analytics
  • Introduction to Recommender Systems: Non-Personalized and Content-Based: University of Minnesota
  • Deep Learning and Reinforcement Learning: IBM
  • Build Better Generative Adversarial Networks (GANs): DeepLearning.AI
  • Identifying the Right Role for Yourself: University of California, Irvine
  • Supervised Machine Learning: Regression: IBM
  • Introduction to Statistical Analysis: Hypothesis Testing: SAS
  • Introduction to Predictive Modeling: University of Minnesota

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