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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: New
      New
      W

      Whizlabs

      Azure ML: Explore & Configure the Machine Learning Workspace

      Skills you'll gain: Statistical Modeling, Microsoft Azure, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Statistics, MLOps (Machine Learning Operations), Azure Synapse Analytics, Cloud Computing, Data Management, Virtual Machines

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Privacy & Safety - Indonesian

      Skills you'll gain: Generative AI, Information Privacy, Google Cloud Platform, Cloud Security, Application Security, Personally Identifiable Information, Data Ethics, Data Security, Artificial Intelligence, Safety and Security, Data Encryption Standard, Prompt Engineering

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Gemini for Security Engineers - 한국어

      Skills you'll gain: Google Cloud Platform, Cloud Security, Generative AI, Cloud Computing, Application Deployment, Security Engineering, Vulnerability Management, Security Management

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini for Network Engineers - 한국어

      Skills you'll gain: Prompt Engineering, Google Cloud Platform, Network Planning And Design, Virtual Private Networks (VPN), Generative AI, Virtual Machines, Cloud Management, Network Engineering

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Boost Productivity with Gemini in BigQuery - Español

      Skills you'll gain: Exploratory Data Analysis, Data Processing, Data Manipulation, Data Cleansing, Data Analysis Expressions (DAX), Big Data, Google Cloud Platform, Prompt Engineering, Artificial Intelligence, Generative AI, Query Languages, Debugging, SQL

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Relational Database Design and Advanced Querying

      Skills you'll gain:

      Beginner · Course

    • G

      Google Cloud

      Responsible AI for Developers: Fairness & Bias - 繁體中文

      Skills you'll gain: Data Ethics, Artificial Intelligence, Google Cloud Platform, Open Source Technology, Data Quality, Data Validation, Machine Learning

      Intermediate · Course · 1 - 3 Months

    • U

      Universidad de los Andes

      Maestría en Inteligencia Analítica de Datos

      Skills you'll gain: Systems Thinking, Network Analysis, Unsupervised Learning, Data Storytelling, Deep Learning, Predictive Modeling, Data Presentation, Risk Analysis, Time Series Analysis and Forecasting, Project Management Life Cycle, MLOps (Machine Learning Operations), Marketing Analytics, Cash Flows, Matplotlib, Descriptive Analytics, Statistical Analysis, Simulations, Random Forest Algorithm, Operations Research, Solution Design

      Earn a degree

      Degree · 1 - 4 Years

    • G

      Google Cloud

      Responsible AI: Interpretability & Transparency - Deutsch

      Skills you'll gain: Data Ethics, Data Analysis, Data Science, Analysis, Applied Machine Learning, Data Visualization Software, Artificial Intelligence, Machine Learning, Technical Communication

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Privacy & Safety - Français

      Skills you'll gain: Information Privacy, Cloud Security, Generative AI, Personally Identifiable Information, Google Cloud Platform, Data Security, Artificial Intelligence, Safety and Security, Encryption, Machine Learning

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Boost Productivity with Gemini in BigQuery - 日本語版

      Skills you'll gain: Exploratory Data Analysis, Data Processing, Data Manipulation, Data Cleansing, Data Transformation, Google Cloud Platform, Interactive Data Visualization, Generative AI, SQL

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Interpretability & Transparency - Italiano

      Skills you'll gain: Data Ethics, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), Machine Learning, Data Integrity, Artificial Intelligence, Technical Documentation, Data Governance

      Intermediate · Course · 1 - 4 Weeks

    Searches related to data engineering

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    1…726727728…740

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

    • Azure ML: Explore & Configure the Machine Learning Workspace: Whizlabs
    • Responsible AI for Developers: Privacy & Safety - Indonesian: Google Cloud
    • Gemini for Security Engineers - 한국어: Google Cloud
    • Gemini for Network Engineers - 한국어: Google Cloud
    • Boost Productivity with Gemini in BigQuery - Español: Google Cloud
    • Relational Database Design and Advanced Querying: Microsoft
    • Responsible AI for Developers: Fairness & Bias - 繁體中文: Google Cloud
    • Maestría en Inteligencia Analítica de Datos: Universidad de los Andes
    • Responsible AI: Interpretability & Transparency - Deutsch: Google Cloud
    • Responsible AI for Developers: Privacy & Safety - Français: 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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