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    • Data Engineering

    Data Engineering Courses

    Data engineering courses can help you learn how to design, build, and maintain data systems and pipelines that support analytics, machine learning, and business intelligence.

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    Find the Best Data Engineering Course for Your Goals

    • Status: New
      New
      F

      Fundação Instituto de Administração

      Tecnologias emergentes para executivos

      Skills you'll gain: Innovation, Digital Transformation, Technical Management, Technology Strategies, Business Transformation, Business Leadership, Emerging Technologies, Business Technologies, Data Strategy, Business Strategies, Technology Solutions, Blockchain, Risk Management, Internet Of Things, Decision Making, Artificial Intelligence

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Fairness & Bias - Español

      Skills you'll gain: Data Ethics, Google Cloud Platform, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Open Source Technology, Machine Learning, Data Quality, Data Analysis, Data Validation

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Work with Gemini Models in BigQuery - Español

      Skills you'll gain: Generative AI, Workflow Management, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Jupyter, Google Cloud Platform, SQL, Applied Machine Learning, Customer Relationship Management, Query Languages

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Introduction to Gemini for Google Workspace - 한국어

      Skills you'll gain: Google Workspace, Productivity Software, Generative AI, Google Docs, Gmail, Operational Efficiency, Prompt Engineering, Google Sheets, Company, Product, and Service Knowledge

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI: Applying AI Principles with Google Cloud - Deutsch

      Skills you'll gain: Data Ethics, Artificial Intelligence, Governance, Business Ethics, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Ethical Standards And Conduct, Google Cloud Platform, Scenario Testing, Decision Making

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Trust and Security with Google Cloud - Português Brasileiro

      Skills you'll gain: Distributed Denial-Of-Service (DDoS) Attacks, Cloud Security, Data Security, Infrastructure Security, Cybersecurity, Network Security, Cloud Computing, Google Cloud Platform, Authentications, Authorization (Computing), Data Governance, Encryption

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Gemini for Network Engineers - 简体中文

      Skills you'll gain: Google Cloud Platform, Generative AI, Prompt Engineering, Virtual Private Networks (VPN), Network Planning And Design, Cloud Infrastructure, Network Engineering, Network Architecture

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Build, Train and Deploy ML Models with Keras on Google Cloud - 日本語版

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Data Pipelines, Google Cloud Platform, Deep Learning, MLOps (Machine Learning Operations), Data Processing, Artificial Neural Networks, Application Deployment, Scalability, Machine Learning, Data Transformation, Application Programming Interface (API)

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Introduction to Vertex AI Studio - Deutsch

      Skills you'll gain: Prompt Engineering, Generative AI, Large Language Modeling, Artificial Intelligence, Google Cloud Platform, Performance Tuning

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Applying Machine Learning to Your Data with GC - Español

      Skills you'll gain: Google Cloud Platform, Applied Machine Learning, Machine Learning, Big Data, Predictive Modeling, Deep Learning, Artificial Intelligence, Natural Language Processing, Computer Vision, Application Programming Interface (API)

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      J

      Johns Hopkins University

      État civil et statistiques pour la santé des populations

      Skills you'll gain: Public Health, Public Health and Disease Prevention, Health Equity, Health Information Management and Medical Records, Demography, Vital Signs, Health Policy, Maternal Health, Chronic Diseases, Data Quality, Data Collection, Medical History Documentation

      Beginner · Course · 1 - 4 Weeks

    • C

      Capitals Coalition

      Valorizar a natureza e pessoas para melhor tomada de decisão

      Skills you'll gain: Stakeholder Engagement, Stakeholder Management, Environmental Social And Corporate Governance (ESG), Corporate Sustainability, Business Risk Management, Business Valuation, Cost Benefit Analysis, Sustainability Reporting, Natural Resource Management, Human Capital, Decision Making, Project Scoping, Data Collection

      Beginner · Course · 1 - 4 Weeks

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

    • Tecnologias emergentes para executivos: Fundação Instituto de Administração
    • Responsible AI for Developers: Fairness & Bias - Español: Google Cloud
    • Work with Gemini Models in BigQuery - Español: Google Cloud
    • Introduction to Gemini for Google Workspace - 한국어: Google Cloud
    • Responsible AI: Applying AI Principles with Google Cloud - Deutsch: Google Cloud
    • Trust and Security with Google Cloud - Português Brasileiro: Google Cloud
    • Gemini for Network Engineers - 简体中文: Google Cloud
    • Build, Train and Deploy ML Models with Keras on Google Cloud - 日本語版: Google Cloud
    • Introduction to Vertex AI Studio - Deutsch: Google Cloud
    • Applying Machine Learning to Your Data with GC - Español: Google Cloud

    Why Learn Data Engineering?

    Data engineering focuses on preparing and structuring data so it can be accessed and analyzed efficiently. It involves working with databases, cloud platforms, ETL processes, and big data tools. Learning data engineering can help you manage complex data workflows, ensure data quality, and support data-driven decision-making in tech-driven organizations.

    Skills you can learn in Software Development

    Programming Language (34)
    Google (25)
    Computer Program (21)
    Software Testing (21)
    Web (19)
    Google Cloud Platform (18)
    Application Programming Interfaces (17)
    Data Structure (16)
    Problem Solving (14)
    Object-oriented Programming (13)
    Kubernetes (10)
    List & Label (10)

    Frequently Asked Questions about Data Engineering

    Top courses include the Data Engineering Foundations from IBM, Introduction to Data Engineering with DeepLearning.AI, and Data Engineering, Big Data, and Machine Learning on GCP from Google Cloud. These programs teach how to design, build, and manage data pipelines using modern tools and cloud platforms.‎

    Yes. Many data engineering courses offer a free audit option, allowing learners to access video lessons and reading materials at no cost. To complete assignments or earn a certificate, you’ll need to upgrade or apply for financial aid.‎

    You’ll learn how to build and manage data processing systems, work with data warehouses and data lakes, use tools like SQL, Apache Spark, and Airflow, and understand how to design reliable and scalable data pipelines.‎

    Not necessarily. Many beginner-friendly courses start with the fundamentals and explain data engineering concepts clearly. However, some familiarity with programming and data analysis can be helpful as you progress to more advanced topics.‎

    Yes. Data engineering is a fast-growing field with high demand in tech, finance, healthcare, and many other industries. Coursera’s data engineering courses can help you build job-ready skills, prepare for certification exams, and earn certificates that showcase your expertise to employers.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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