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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: Free Trial
      Free Trial
      M

      Microsoft

      Web Development Fundamentals

      Skills you'll gain: Responsive Web Design, Web Development, HTML and CSS, Web Applications, Front-End Web Development, Web Design, Semantic Web, Javascript, Web Content Accessibility Guidelines, Data Storage Technologies, Application Security, User Interface (UI), Data Validation

      Beginner · Course · 1 - 3 Months

    • U

      University of Illinois at Urbana-Champaign

      Graduate Certificate in Digital Marketing

      Skills you'll gain: Data Storytelling, Management Accounting, Fund Accounting, Operations Management, Mergers & Acquisitions, Financial Statement Analysis, Marketing, Risk Management, Machine Learning Algorithms, Business Strategy, Financial Auditing, Descriptive Statistics, Variance Analysis, Process Improvement, Marketing Analytics, Generative AI, Financial Market, Strategic Decision-Making, Corporate Tax, Global Marketing

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • U

      Universidad de los Andes

      Maestría en Gerencia de la Ingeniería

      Skills you'll gain: Project Management Life Cycle, Conflict Management, Organizational Strategy, Project Closure, Product Management, Business Modeling, Systems Thinking, Prototyping, Engineering Management, Strategic Decision-Making, Project Management Institute (PMI) Methodology, Feasibility Studies, Team Oriented, Financial Statements, Technology Strategies, Asset Management, Environmental Management Systems, Agile Methodology, Operations Research, Project Risk Management

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      G

      Google Cloud

      在 Google Cloud 上创建生成式 AI 应用

      Skills you'll gain: Prompt Engineering, Generative AI, Large Language Modeling, Google Cloud Platform, Cloud Applications, Cloud Computing Architecture, Prototyping

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 繁體中文

      Skills you'll gain: Generative AI, Continuous Monitoring, Google Cloud Platform, MLOps (Machine Learning Operations), Predictive Modeling, Test Automation, Data Validation, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Quality

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      借助 Agentspace 加速知识交流

      Skills you'll gain: Google Workspace, OAuth, Generative AI Agents, Performance Analysis, API Gateway, Knowledge Transfer, Application Performance Management, Application Deployment, Performance Metric, Operational Efficiency, Agentic systems, Brainstorming, AI Personalization, Authentications, Data Integration, Identity and Access Management, Authorization (Computing), Data Store

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Cloud Spanner について

      Skills you'll gain: Google Cloud Platform, Database Administration, Database Architecture and Administration, Database Management, Data Migration, Cloud Applications, SQL, Query Languages, Database Design, Systems Administration, Scalability

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Usar o BigQuery ML para inferência

      Skills you'll gain: Analytics, Data Analysis, Big Data, Applied Machine Learning, Statistical Inference, Google Cloud Platform, Machine Learning Methods, SQL

      Beginner · Course · 1 - 4 Weeks

    • U

      Universidad de los Andes

      Principios de ingeniería de software automatizada y ágil Certificado MasterTrack®

      Skills you'll gain: User Story, Software Testing, Test Automation, Version Control, Agile Project Management, Unified Modeling Language, Usability, Agile Software Development, Maintainability, Software Architecture, Git (Version Control System), Test Driven Development (TDD), Unit Testing, Acceptance Testing, Web Content Accessibility Guidelines, Continuous Integration, Regression Testing, Test Data, Software Design Patterns, Software Design

      Credit offered

      Mastertrack · 6 - 12 Months

    • U

      University of London

      Master of Science in Cyber Security

      Skills you'll gain: Security Management, Human Factors (Security), Infrastructure Security, Information Privacy, Key Management, Cyber Governance, Application Security, Network Security, Threat Modeling, OSI Models, Security Testing, Computer Security Incident Management, Cyber Security Policies, Intrusion Detection and Prevention, Cryptography, ISO/IEC 27001, Penetration Testing, Malware Protection, Data Collection, Data Analysis

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      G

      Google Cloud

      使用 BigQuery 机器学习推理功能

      Skills you'll gain: Big Data, Data Analysis, Applied Machine Learning, Google Cloud Platform, Machine Learning, SQL

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Master of Science in Computer Science

      Skills you'll gain: Object Oriented Design, User Story, SQL, Systems Engineering, Real-Time Operating Systems, New Product Development, Field-Programmable Gate Array (FPGA), Delegation Skills, Unsupervised Learning, Sampling (Statistics), Failure Analysis, Supplier Management, Sustainability Reporting, Accountability, Data Ethics, Data Mining, Statistical Modeling, Goal Setting, Proposal Writing, Generative AI

      Earn a degree

      Degree · 1 - 4 Years

    Searches related to data engineering

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    1…743744745…747

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

    • Web Development Fundamentals: Microsoft
    • Graduate Certificate in Digital Marketing: University of Illinois at Urbana-Champaign
    • Maestría en Gerencia de la Ingeniería: Universidad de los Andes
    • 在 Google Cloud 上创建生成式 AI 应用: Google Cloud
    • Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 繁體中文: Google Cloud
    • 借助 Agentspace 加速知识交流: Google Cloud
    • Cloud Spanner について: Google Cloud
    • Usar o BigQuery ML para inferência: Google Cloud
    • Principios de ingeniería de software automatizada y ágil Certificado MasterTrack®: Universidad de los Andes
    • Master of Science in Cyber Security: University of London

    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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