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Data Architecture Courses

Data architecture courses can help you learn data modeling, database design, data warehousing, and cloud storage solutions. You can build skills in optimizing data flow, ensuring data integrity, and implementing data governance practices. Many courses introduce tools like SQL for database management, Apache Hadoop for big data processing, and ETL (Extract, Transform, Load) tools for data integration, demonstrating how these skills are applied in practical work.


Popular Data Architecture Courses and Certifications


  • Status: Free Trial
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    Wesleyan University

    Machine Learning for Data Analysis

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Predictive Modeling, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Unsupervised Learning, Machine Learning, Supervised Learning, Data Analysis, Data Mining, Feature Engineering, Exploratory Data Analysis, Regression Analysis, Statistical Analysis, Statistical Methods, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    327 reviews

    Mixed · Course · 1 - 4 Weeks

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    J

    Johns Hopkins University

    A Crash Course in Data Science

    Skills you'll gain: Data Science, Data Management, Data Analysis, Data-Driven Decision-Making, Project Design, Performance Metric, Software Engineering, Machine Learning, Predictive Modeling, Statistical Inference

    4.5
    Rating, 4.5 out of 5 stars
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    8.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Pennsylvania

    AI Fundamentals for Non-Data Scientists

    Skills you'll gain: Generative AI, Data Management, Big Data, Machine Learning Algorithms, Machine Learning, Tensorflow, Artificial Intelligence, Deep Learning, Algorithms, Process Optimization, Data Analysis, Artificial Neural Networks, Natural Language Processing

    4.8
    Rating, 4.8 out of 5 stars
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    924 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
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    Northeastern University

    Practical Engineering Data Mining: Techniques and Uses

    Skills you'll gain: Data Mining, Exploratory Data Analysis, Dimensionality Reduction, Data Cleansing, Data Transformation, Text Mining, Data-Driven Decision-Making, Predictive Analytics, Big Data, Feature Engineering, Unstructured Data, Data Analysis, Predictive Modeling, Classification And Regression Tree (CART), Statistical Analysis, Data Visualization Software, Unsupervised Learning, Machine Learning, Regression Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    Universidad Austral

    NLP System Architecture and Dev-Ops

    Skills you'll gain: Natural Language Processing, MLOps (Machine Learning Operations), Application Lifecycle Management, Systems Architecture, Application Development, Algorithms, Software Architecture, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Software Development Life Cycle, Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Whizlabs

    Exploratory Data Analysis in AWS

    Skills you'll gain: AWS Kinesis, Amazon Redshift, Data Analysis, Real Time Data, Applied Machine Learning, Data Processing, Extract, Transform, Load, Exploratory Data Analysis, Amazon S3, Data Sharing, Data Visualization Software, Data Transformation, Machine Learning, Data Management

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Whizlabs

    Data Engineering in AWS

    Skills you'll gain: Data Collection, AWS SageMaker, Feature Engineering, Amazon Web Services, Data Migration, Data Cleansing, Data Manipulation, Jupyter, Dimensionality Reduction, Exploratory Data Analysis, Unsupervised Learning, Machine Learning

    4
    Rating, 4 out of 5 stars
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    26 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    C

    Coursera

    GenAI for Data Scientists

    Skills you'll gain: Generative AI, Responsible AI, Data Ethics, Data Quality, Data Strategy, Applied Machine Learning, Predictive Modeling, Exploratory Data Analysis, Machine Learning, Machine Learning Methods

    4.6
    Rating, 4.6 out of 5 stars
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    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    P

    Packt

    NumPy, Matplotlib & Pandas – Data Science Prerequisites

    Skills you'll gain: NumPy, Pandas (Python Package), Data Manipulation, Scatter Plots, Jupyter, Data Visualization Software, Machine Learning, Data Science, Data Import/Export, Classification And Regression Tree (CART), Probability Distribution, Linear Algebra, Regression Analysis

    4.9
    Rating, 4.9 out of 5 stars
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    7 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
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    T

    The University of Edinburgh

    Data Science in Stratified Healthcare and Precision Medicine

    Skills you'll gain: Precision Medicine, Bioinformatics, Image Analysis, Biomedical Technology, Process Driven Development, Medical Imaging, Big Data, Data Science, Data Ethics, Health Informatics, Statistical Modeling, Machine Learning, Natural Language Processing, Data Integration, Network Analysis, Graph Theory, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
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    337 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    G

    Google Cloud

    Encoder-Decoder Architecture - Español

    Skills you'll gain: Generative Model Architectures, Tensorflow, Keras (Neural Network Library), Deep Learning, Natural Language Processing, Machine Learning

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Health Data Science Foundation

    Skills you'll gain: Health Informatics, Deep Learning, Machine Learning, Health Care, Artificial Neural Networks, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Medical Science and Research, Unsupervised Learning, Program Development

    3
    Rating, 3 out of 5 stars
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    29 reviews

    Advanced · Course · 1 - 4 Weeks

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

  • Machine Learning for Data Analysis: Wesleyan University
  • A Crash Course in Data Science: Johns Hopkins University
  • AI Fundamentals for Non-Data Scientists: University of Pennsylvania
  • Practical Engineering Data Mining: Techniques and Uses: Northeastern University
  • NLP System Architecture and Dev-Ops: Universidad Austral
  • Exploratory Data Analysis in AWS: Whizlabs
  • Data Engineering in AWS: Whizlabs
  • GenAI for Data Scientists: Coursera
  • NumPy, Matplotlib & Pandas – Data Science Prerequisites: Packt
  • Data Science in Stratified Healthcare and Precision Medicine: The University of Edinburgh

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