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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
      G

      Google Cloud

      Google Cloud でのデータ分析の概要

      Skills you'll gain:

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Gemini for Security Engineers - Español

      Skills you'll gain: Google Cloud Platform, Application Deployment, Cloud Security, Generative AI, Security Engineering, Security Controls, System Configuration

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California, Berkeley

      Master of Advanced Study in Engineering

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Colorado Boulder

      Data Science Graduate Certificate

      Skills you'll gain: Data Mining, Unsupervised Learning, Supervised Learning, Deep Learning, Service Level, Machine Learning Algorithms, Statistical Modeling, Applied Machine Learning, Statistical Inference, Statistical Hypothesis Testing, Statistical Machine Learning, Performance Testing, Dimensionality Reduction, Probability, Probability & Statistics, Data Warehousing, Regression Analysis, Classification And Regression Tree (CART), Data Science, Bash (Scripting Language)

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • G

      Google Cloud

      Introduction to Gemini for Google Workspace - Indonesian

      Skills you'll gain: Google Workspace, Generative AI, Data Ethics, Artificial Intelligence, Gmail, Prompt Engineering

      Beginner · Course · 1 - 4 Weeks

    • I

      Imperial College London

      Master of Science in Machine Learning and Data Science

      Skills you'll gain: Data Ethics, Supervised Learning, Exploratory Data Analysis, Unsupervised Learning, Student Support and Services, PySpark, Data Pipelines, Linear Algebra, Ggplot2, Dimensionality Reduction, Student Services, Data Processing, Big Data, Agentic systems, Graphing, A/B Testing, Unstructured Data, Deep Learning, Bayesian Statistics, Applied Machine Learning

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Colorado Boulder

      Master of Engineering in Engineering Management

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

      Earn a degree

      Degree · 1 - 4 Years

    • G

      Google Cloud

      Google Workspace Mail Management - Français

      Skills you'll gain: Email Security, Data Loss Prevention, Google Workspace, Malware Protection, Security Controls, Personally Identifiable Information, Network Routing, Content Management, Record Keeping

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini in Google Drive - 日本語版

      Skills you'll gain: Google Workspace, Prompt Engineering, Generative AI, Document Management, File Management

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Work with Gemini Models in BigQuery - Português Brasileiro

      Skills you'll gain: Generative AI, Google Cloud Platform, Customer Relationship Management, Predictive Modeling, SQL, Big Data, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Privacy & Safety - Italiano

      Skills you'll gain: Data Security, Generative AI, Information Privacy, Google Cloud Platform, Computer Security, Cloud Security, Security Controls, Application Security, Artificial Intelligence, Safety and Security

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Master of Science in Data Science

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

      Earn a degree

      Degree · 1 - 4 Years

    Searches related to data engineering

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    1…720721722…736

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

    • Google Cloud でのデータ分析の概要 : Google Cloud
    • Gemini for Security Engineers - Español: Google Cloud
    • Master of Advanced Study in Engineering: University of California, Berkeley
    • Data Science Graduate Certificate: University of Colorado Boulder
    • Introduction to Gemini for Google Workspace - Indonesian: Google Cloud
    • Master of Science in Machine Learning and Data Science: Imperial College London
    • Master of Engineering in Engineering Management: University of Colorado Boulder
    • Google Workspace Mail Management - Français: Google Cloud
    • Gemini in Google Drive - 日本語版: Google Cloud
    • Work with Gemini Models in BigQuery - Português Brasileiro: 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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