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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

    • G

      Google Cloud

      Building Resilient Streaming Analytics Systems on GC - 한국어

      Skills you'll gain: Dataflow, Data Pipelines, Real Time Data, Google Cloud Platform, Data Processing, Big Data, Analytics, Scalability, Performance Tuning

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Google Cloud 기반 데이터 분석 입문

      Skills you'll gain: Looker (Software), Data-Driven Decision-Making, Data Analysis, Analytics, Big Data, Business Analytics, Google Cloud Platform, Data Visualization Software, Data Transformation, Interactive Data Visualization, Data Cleansing, Data Warehousing, Data Storage, SQL

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      BigQuery로 임베딩, 벡터 검색, RAG 만들기

      Skills you'll gain: Generative AI, Data Pipelines, Big Data, Google Cloud Platform, Natural Language Processing

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Comprende Cloud Spanner

      Skills you'll gain: Data Migration, Database Management, Relational Databases, Google Cloud Platform, Database Architecture and Administration, Databases, Database Management Systems, Data Store, Cloud Storage, Query Languages, Database Design, Cloud Applications, Scalability, Transaction Processing

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      Master Compliance with MS 365 Copilot: EU Law

      Skills you'll gain: Compliance Management, Microsoft Copilot, Regulation and Legal Compliance, Legal Risk, Compliance Reporting, General Data Protection Regulation (GDPR), Microsoft 365, Audit Working Papers, Process Design, Workflow Management, Business Workflow Analysis, Automation, Prompt Engineering

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      AI 时代安全性简介

      Skills you'll gain: Data Security, Security Strategy, Security Management, Information Assurance, Threat Modeling, Security Controls, Infrastructure Security, Security Requirements Analysis, Cybersecurity, Artificial Intelligence, Threat Detection, Machine Learning

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Google Workspace Mail Management - Português Brasileiro

      Skills you'll gain: Email Security, Data Loss Prevention, Google Workspace, Security Management, Threat Management, Malware Protection, Network Routing, Threat Detection

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      AI 보안 소개

      Skills you'll gain: Security Strategy, Threat Modeling, Threat Management, Security Requirements Analysis, Information Assurance, Cybersecurity, Security Controls, Data Security, Artificial Intelligence, Machine Learning

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Modernisasi Situs dengan AI Generatif di Google Cloud

      Skills you'll gain: Generative AI, Prompt Engineering, Large Language Modeling, Google Cloud Platform, UI/UX Strategy, User Experience, Content Management, Image Analysis

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Google Cloud에서 Gemini 1.0 Pro와 애플리케이션 통합

      Skills you'll gain: Generative AI, Google Cloud Platform, Cloud API, Cloud Applications, Cloud-Based Integration, Application Development, Application Programming Interface (API), Prompt Engineering, Large Language Modeling, Development Testing

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini for Cloud Architects - 日本語版

      Skills you'll gain: Google Cloud Platform, Kubernetes, Prompt Engineering, Cloud Infrastructure, Infrastructure as Code (IaC), Application Deployment, Generative AI, Cloud Computing Architecture, Shell Script

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Accélérer l'échange de connaissances avec Agentspace

      Skills you'll gain: Google Workspace, Collaborative Software, Gmail, Google Docs, Slack (Software), Generative AI Agents, Intranet, Google Sheets, OAuth, Identity and Access Management, Enterprise Application Management, Productivity Software, Application Programming Interface (API), Information Management, Data Access, Agentic systems, Application Deployment, Data Store

      Beginner · Course · 1 - 4 Weeks

    Searches related to data engineering

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

    • Building Resilient Streaming Analytics Systems on GC - 한국어: Google Cloud
    • Google Cloud 기반 데이터 분석 입문: Google Cloud
    • BigQuery로 임베딩, 벡터 검색, RAG 만들기: Google Cloud
    • Comprende Cloud Spanner: Google Cloud
    • Master Compliance with MS 365 Copilot: EU Law: Coursera Instructor Network
    • AI 时代安全性简介: Google Cloud
    • Google Workspace Mail Management - Português Brasileiro: Google Cloud
    • AI 보안 소개: Google Cloud
    • Modernisasi Situs dengan AI Generatif di Google Cloud: Google Cloud
    • Google Cloud에서 Gemini 1.0 Pro와 애플리케이션 통합: 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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