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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

      Meta

      البرمجة المتقدمة في Kotlin

      Skills you'll gain: Kotlin, Android Studio, Android Development, Object Oriented Programming (OOP), Unit Testing, Mobile Development, Software Testing, Functional Design

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      N

      Northeastern University

      Strategic Info Systems: Planning & Business Alignment

      Skills you'll gain: Scope Management, Requirements Management, Project Documentation, Change Control, Project Planning, Agile Methodology, Strategic Planning, Project Management Life Cycle, Information Technology, Project Management, Stakeholder Communications

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      A

      Alberta Machine Intelligence Institute

      Ethics and Responsible Practices in GenAI

      Skills you'll gain: Data Ethics, Business Ethics, Generative AI, Ethical Standards And Conduct, Artificial Intelligence, Law, Regulation, and Compliance, Regulatory Compliance, Regulatory Requirements, Governance, Information Privacy, Accountability, Social Studies, Data Security

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      ISC2

      Moving to the Cloud

      Skills you'll gain: Business Continuity, Continuous Monitoring, Cloud Computing, Data Migration, Cloud Security, Security Requirements Analysis, Data Management, Disaster Recovery, Cloud Infrastructure, Cloud Services, Risk Management, Service Level Agreement, Governance, Vendor Management, Business Requirements, Employee Training

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Launching into Machine Learning - 한국어

      Skills you'll gain: Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Supervised Learning, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Google Cloud Platform, Data Quality, Predictive Modeling, Big Data, Regression Analysis, Sampling (Statistics), Performance Tuning, Verification And Validation

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      المشروع المتقدم لمطور الواجهة الخلفية

      Skills you'll gain: Django (Web Framework), Unit Testing, Back-End Web Development, Application Programming Interface (API), Restful API, Software Testing, Test Tools, Git (Version Control System), MySQL, User Accounts, Database Development

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Google Cloud Customer Care Fundamentals-Português Brasileiro

      Skills you'll gain: Product Support, End User Training and Support, Help Desk Support, Technical Support, Technical Support and Services, Service Level, Cloud Services, Cloud Solutions, Issue Tracking, Technical Communication, Information Privacy, Personally Identifiable Information

      Beginner · Course · 1 - 4 Weeks

    • P

      Packt

      Formatting, Printing and Reporting with Primavera P6 PPM

      Skills you'll gain: Project Management Software, Management Reporting, Data Management, Timelines, Project Schedules, Business Reporting, Work Breakdown Structure, Project Controls, Data Visualization, Change Management

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI: Applying AI Principles with GC - 한국어

      Skills you'll gain: Data Ethics, Business Ethics, Governance, Artificial Intelligence, Ethical Standards And Conduct, Compliance Training, Regulatory Compliance, Accountability, Decision Making, Stakeholder Management

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Reliable Cloud Infrastructure: Design & Process italiano

      Skills you'll gain: Cloud Infrastructure, Application Deployment, API Design, Cloud Computing Architecture, Microservices, Kubernetes, Google Cloud Platform, Restful API, CI/CD, Service Level Agreement, Cloud Storage, Network Architecture, DevOps, Cloud Security, Data Storage, Load Balancing, System Design and Implementation, Key Performance Indicators (KPIs), Application Security, Scalability

      Advanced · Course · 1 - 3 Months

    • C

      Coursera Project Network

      APIs في Swift: استخدام Restful APIs في اداره البيانات

      Skills you'll gain: Swift Programming, Apple iOS, Authentications, Application Programming Interface (API), Restful API, Mobile Development, Data Store

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Development with NetBeans: Cross-Platform Password Generator

      Skills you'll gain: Integrated Development Environments, Application Deployment, Cross Platform Development, Application Development, Software Development Tools, Java, Apache Maven, Programming Principles, Object Oriented Programming (OOP)

      Intermediate · Guided Project · Less Than 2 Hours

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    1…692693694…747

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

    • البرمجة المتقدمة في Kotlin: Meta
    • Strategic Info Systems: Planning & Business Alignment: Northeastern University
    • Ethics and Responsible Practices in GenAI: Alberta Machine Intelligence Institute
    • Moving to the Cloud: ISC2
    • Launching into Machine Learning - 한국어: Google Cloud
    • المشروع المتقدم لمطور الواجهة الخلفية: Meta
    • Google Cloud Customer Care Fundamentals-Português Brasileiro: Google Cloud
    • Formatting, Printing and Reporting with Primavera P6 PPM: Packt
    • Responsible AI: Applying AI Principles with GC - 한국어: Google Cloud
    • Reliable Cloud Infrastructure: Design & Process italiano: 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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