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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


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    Coursera

    Advanced Data Science Techniques (with AWS Integration)

    Skills you'll gain: AWS SageMaker, Unsupervised Learning, Feature Engineering, Time Series Analysis and Forecasting, Amazon Web Services, Applied Machine Learning, Advanced Analytics, Machine Learning Methods, Cloud Development, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Machine Learning, Statistical Analysis, Forecasting, MLOps (Machine Learning Operations), Predictive Analytics, Supervised Learning, Dimensionality Reduction, Regression Analysis

    Beginner · Course · 1 - 3 Months

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    Northeastern University

    Machine Learning and Data Analytics Part 2

    Skills you'll gain: Data Mining, Text Mining, Time Series Analysis and Forecasting, Artificial Neural Networks, Statistical Analysis, Supervised Learning, Predictive Modeling, Deep Learning, Big Data, Data Science, Feature Engineering, Classification And Regression Tree (CART), Unsupervised Learning, Regression Analysis, Machine Learning, Algorithms

    Intermediate · Course · 1 - 3 Months

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    Pearson

    Data Science Fundamentals Part 2: Unit 3

    Skills you'll gain: Predictive Modeling, Statistical Modeling, Predictive Analytics, Regression Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Statistical Inference, Business Analytics, Data Analysis, Statistical Analysis, Probability Distribution, Estimation, Supervised Learning, Machine Learning, Performance Metric

    Beginner · Course · 1 - 4 Weeks

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    Northeastern University

    Machine Learning with Small Data Part 2

    Skills you'll gain: Generative AI, Applied Machine Learning, Small Data, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Computer Graphics, Machine Learning, Image Analysis, Data Synthesis, Computer Vision, Augmented and Virtual Reality (AR/VR), Simulations, 3D Modeling, Mathematical Modeling

    Mixed · Course · 1 - 3 Months

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    University of Pittsburgh

    Linear Algebra and Regression Fundamentals for Data Science

    Skills you'll gain: NumPy, Matplotlib, Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Statistical Analysis, Mathematics and Mathematical Modeling, Probability & Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning

    Build toward a degree

    Beginner · Course · 1 - 4 Weeks

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    Packt

    Matrix Calculus for Data Science & Machine Learning

    Skills you'll gain: Calculus, Applied Mathematics, NumPy, Tensorflow, Machine Learning, Python Programming, Derivatives, Algorithms, Development Environment

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Data Analysis with the FraudFinder Workshop

    Skills you'll gain: Fraud detection, Feature Engineering, Exploratory Data Analysis, Real Time Data, Applied Machine Learning, MLOps (Machine Learning Operations), Application Deployment, Jupyter, Data Analysis, System Monitoring, Data Warehousing, Machine Learning

    Beginner · Project · Less Than 2 Hours

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    LearnQuest

    Introduction to Data Science and scikit-learn in Python

    Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, NumPy, Data Analysis, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning, Classification And Regression Tree (CART), Data Science, Statistical Hypothesis Testing, Supervised Learning, Statistical Methods, Programming Principles, Data Structures

    3.7
    Rating, 3.7 out of 5 stars
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    52 reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    Scalable Machine Learning on Big Data using Apache Spark

    Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Data Storage Technologies, Statistical Machine Learning, Data Pipelines, Machine Learning Algorithms, Machine Learning, Data Processing, Data Science, Statistical Analysis

    3.8
    Rating, 3.8 out of 5 stars
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    1.3K reviews

    Intermediate · Course · 1 - 4 Weeks

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    University of Illinois Urbana-Champaign

    Data Analytics Foundations for Accountancy II

    Skills you'll gain: Anomaly Detection, Feature Engineering, Data Ethics, Machine Learning Algorithms, Machine Learning, Statistical Machine Learning, Applied Machine Learning, Supervised Learning, Unsupervised Learning, Scikit Learn (Machine Learning Library), Decision Tree Learning, Exploratory Data Analysis, Regression Analysis, Data Processing

    4.5
    Rating, 4.5 out of 5 stars
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    11 reviews

    Beginner · Course · 1 - 3 Months

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    Packt

    Machine Learning, Data Science and Generative AI with Python

    Skills you'll gain: Apache Spark, Generative AI, LLM Application, Large Language Modeling, Predictive Modeling, Matplotlib, Keras (Neural Network Library), Generative Model Architectures, Deep Learning, ChatGPT, OpenAI, Generative AI Agents, Tensorflow, Seaborn, A/B Testing, Statistical Modeling, Data Visualization, Regression Analysis, Big Data, Machine Learning

    Intermediate · Specialization · 3 - 6 Months

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    Coursera

    Data and Machine Learning for Technical Product Managers

    Skills you'll gain: Technical Communication, Technical Product Management, Program Evaluation, Performance Metric, Data Analysis, Agile Methodology, Project Management, Analytics, Stakeholder Communications, Communication, Data-Driven Decision-Making, Machine Learning, Large Language Modeling, R Programming, Data Visualization

    Intermediate · Course · 1 - 4 Weeks

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

  • Advanced Data Science Techniques (with AWS Integration): Coursera
  • Machine Learning and Data Analytics Part 2: Northeastern University
  • Data Science Fundamentals Part 2: Unit 3: Pearson
  • Machine Learning with Small Data Part 2: Northeastern University
  • Linear Algebra and Regression Fundamentals for Data Science: University of Pittsburgh
  • Matrix Calculus for Data Science & Machine Learning: Packt
  • Data Analysis with the FraudFinder Workshop: Google Cloud
  • Introduction to Data Science and scikit-learn in Python: LearnQuest
  • Scalable Machine Learning on Big Data using Apache Spark: IBM
  • Data Analytics Foundations for Accountancy II: University of Illinois Urbana-Champaign

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