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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

      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

    • Status: New
      New
      G

      Google Cloud

      Crea apps basadas en IA generativa en Google Cloud

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

      Intermediate · Course · 1 - 3 Months

    • 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

    • Status: Free Trial
      Free Trial
      S

      SkillUp EdTech

      IT Systems Design and Analysis 

      Skills you'll gain: Unified Modeling Language, Systems Analysis, Systems Design, Systems Architecture, Business Process Modeling, Requirements Analysis, Software Architecture, User Requirements Documents, Functional Requirement, Process Flow Diagrams, Business Process, Risk Analysis, Feasibility Studies, Object Oriented Design

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera

      YouTube Optimization: Grow Your Presence

      Skills you'll gain: Content Performance Analysis, Search Engine Optimization, Web Analytics, Performance Analysis, Marketing Analytics, Web Analytics and SEO, Content Strategy, Marketing Channel, Key Performance Indicators (KPIs), Data-Driven Decision-Making, Revenue Management

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Modern JavaScript Tooling, Modules, and Backend Integration

      Skills you'll gain: Jest (JavaScript Testing Framework), Node.JS, Full-Stack Web Development, Webpack, Application Deployment, Web Development Tools, Unit Testing, Back-End Web Development, Restful API, Application Development, Web Development, MongoDB, Javascript, Front-End Web Development, Data Structures

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Introduction to Programming with C#12 and .NET8

      Skills you'll gain: GitHub, Version Control, Object Oriented Programming (OOP), Debugging, Development Environment, C# (Programming Language), Microsoft Visual Studio, Microsoft Development Tools, Computer Programming, Programming Principles, Integrated Development Environments, .NET Framework, Data Structures

      Beginner · Course · 3 - 6 Months

    • G

      Google Cloud

      Introduction to Vertex AI Studio - Deutsch

      Skills you'll gain: Prompt Engineering, Generative AI, Prototyping, Artificial Intelligence, Google Cloud Platform

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      B

      Board Infinity

      Advanced Hibernate Techniques

      Skills you'll gain: Model View Controller, Spring Framework, Java Platform Enterprise Edition (J2EE), Web Applications, Software Architecture, Enterprise Application Management, Data Validation, Data Management

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      Public Health Principles: Systems and Strategies

      Skills you'll gain: Health Policy, Public Health, Public Health and Disease Prevention, Systems Thinking, Program Evaluation, Health Systems, Health Care Administration, Health Equity, Epidemiology, Policy Analysis, Community Health, Media and Communications, Emergency Response

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Web Application Security Testing with Google Hacking

      Skills you'll gain: Penetration Testing, Security Testing, Vulnerability Scanning, Application Security, Vulnerability Assessments, Infrastructure Security, Web Applications, Data Security, Web Servers, SQL

      Intermediate · Course · 1 - 3 Months

    • 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, MLOps (Machine Learning Operations), Deep Learning, Scalability, Data Processing, Artificial Neural Networks, Machine Learning, Application Programming Interface (API), Data Transformation

      Intermediate · Course · 1 - 3 Months

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    1…714715716…746

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

    • Work with Gemini Models in BigQuery - Español: Google Cloud
    • Crea apps basadas en IA generativa en Google Cloud: Google Cloud
    • Introduction to Gemini for Google Workspace - 한국어: Google Cloud
    • IT Systems Design and Analysis : SkillUp EdTech
    • YouTube Optimization: Grow Your Presence: Coursera
    • Modern JavaScript Tooling, Modules, and Backend Integration: Packt
    • Introduction to Programming with C#12 and .NET8: Packt
    • Introduction to Vertex AI Studio - Deutsch: Google Cloud
    • Advanced Hibernate Techniques: Board Infinity
    • Public Health Principles: Systems and Strategies : Coursera Instructor Network

    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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