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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

      Preparing for Google Cloud Certification: Cloud DevOps Engineer

      Skills you'll gain: Site Reliability Engineering, Kubernetes, Application Performance Management, Google Cloud Platform, Cloud Infrastructure, System Monitoring, Prompt Engineering, Application Deployment, Identity and Access Management, DevOps, CI/CD, Containerization, Cloud Storage, Cloud Security, Cloud Services, Cloud Management, Service Level Agreement, Safety Culture, Event Monitoring, Culture Transformation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      54K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free
      Free
      P

      Princeton University

      Algorithms, Part I

      Skills you'll gain: Data Structures, Algorithms, Java, Performance Testing, Computer Programming, Theoretical Computer Science, Object Oriented Programming (OOP), Computational Thinking

      4.9
      Rating, 4.9 out of 5 stars
      ·
      12K reviews

      Intermediate · Course · 3 - 6 Months

    • V

      Vanderbilt University

      Generative AI Automation

      Skills you'll gain: Prompt Engineering, ChatGPT, Ideation, Verification And Validation, Data Validation, Data Presentation, Productivity, Generative AI, Document Management, Expense Reports, Image Analysis, Artificial Intelligence, Large Language Modeling, Organizational Skills, Risk Management Framework, Computer Vision, Microsoft Excel, Data Storytelling, Creative Thinking, Ingenuity

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Preparing for Google Cloud Certification: Cloud Architect

      Skills you'll gain: Cloud Infrastructure, Identity and Access Management, Kubernetes, Google Cloud Platform, Prompt Engineering, Application Deployment, Cloud Storage, Containerization, Infrastructure As A Service (IaaS), Cloud Computing, CI/CD, Cloud Computing Architecture, Cloud Security, Cloud Management, Cloud Services, Load Balancing, Service Level Agreement, Infrastructure as Code (IaC), Microservices, Process Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      59K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • D

      DeepLearning.AI

      Convolutional Neural Networks

      Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, PyTorch (Machine Learning Library), Artificial Intelligence, Data Processing, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      42K reviews

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Architecting with Google Compute Engine

      Skills you'll gain: Cloud Infrastructure, Identity and Access Management, Google Cloud Platform, Prompt Engineering, Kubernetes, Application Deployment, Cloud Storage, Infrastructure As A Service (IaaS), Containerization, Cloud Computing, CI/CD, Cloud Computing Architecture, Cloud Security, Cloud Services, Load Balancing, Service Level Agreement, Infrastructure as Code (IaC), Microservices, Virtual Machines, Service Level

      4.7
      Rating, 4.7 out of 5 stars
      ·
      58K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Michigan

      Ethics in Engineering

      Skills you'll gain: Failure Analysis, Engineering Practices, Ethical Standards And Conduct, Business Ethics, Chemical and Biomedical Engineering, Engineering Management, Systems Engineering, Engineering, Civil Engineering, Electrical and Computer Engineering, Software Engineering, Safety Assurance

      4.7
      Rating, 4.7 out of 5 stars
      ·
      74 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      BI Foundations with SQL, ETL and Data Warehousing

      Skills you'll gain: Data Warehousing, Extract, Transform, Load, Apache Airflow, Linux Commands, SQL, IBM Cognos Analytics, Data Pipelines, Apache Kafka, Bash (Scripting Language), Shell Script, Dashboard, File Management, Star Schema, IBM DB2, Business Intelligence, Interactive Data Visualization, Linux, Relational Databases, Stored Procedure, Databases

      4.6
      Rating, 4.6 out of 5 stars
      ·
      24K reviews

      Beginner · Specialization · 3 - 6 Months

    • M

      Macquarie University

      Data Visualization in Excel

      Skills you'll gain: Pivot Tables And Charts, Data Storytelling, Data Visualization Software, Interactive Data Visualization, Spreadsheet Software, Dashboard, Microsoft Excel, Excel Macros, Infographics, Data Analysis, Data Manipulation, Forecasting

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Georgia Institute of Technology

      Linear Circuits 1: DC Analysis

      Skills you'll gain: Basic Electrical Systems, Electronic Components, Electrical Systems, Electrical Engineering, Engineering Analysis, Electronics, Engineering Calculations, Physics, Differential Equations

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.5K reviews

      Mixed · Course · 1 - 3 Months

    • G

      Google

      Analyze Data to Answer Questions

      Skills you'll gain: Data Validation, Spreadsheet Software, Data Analysis, Analytics, Data Manipulation, Excel Formulas, Data Compilation, Pivot Tables And Charts, SQL, Data Integration, Data Transformation, User Feedback

      4.6
      Rating, 4.6 out of 5 stars
      ·
      12K reviews

      Beginner · Course · 1 - 4 Weeks

    • V

      Vanderbilt University

      Generative AI Assistants

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, Ideation, Verification And Validation, Data Validation, Productivity, AI Personalization, OpenAI, Artificial Intelligence, Personalized Service, Large Language Modeling, Risk Management Framework, Expense Management, Creative Thinking, Ingenuity, Productivity Software, Brainstorming, Data Ethics, Travel Arrangements

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.4K reviews

      Beginner · Specialization · 1 - 3 Months

    Searches related to data engineering

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    1…212223…736

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

    • Preparing for Google Cloud Certification: Cloud DevOps Engineer: Google Cloud
    • Algorithms, Part I: Princeton University
    • Generative AI Automation: Vanderbilt University
    • Preparing for Google Cloud Certification: Cloud Architect: Google Cloud
    • Convolutional Neural Networks: DeepLearning.AI
    • Architecting with Google Compute Engine: Google Cloud
    • Ethics in Engineering: University of Michigan
    • BI Foundations with SQL, ETL and Data Warehousing: IBM
    • Data Visualization in Excel: Macquarie University
    • Linear Circuits 1: DC Analysis: Georgia Institute of Technology

    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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