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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
      C

      Coursera Instructor Network

      GenAI for Talent Acquisition: Smarter Candidate Screening

      Skills you'll gain: Prompt Engineering, Applicant Tracking Systems, Talent Acquisition, Recruitment, Talent Recruitment, HR Tech, Generative AI, Microsoft Power Automate/Flow, Recruitment Strategies, ChatGPT, Data Ethics, Business Workflow Analysis, Diversity and Inclusion, Job Evaluation, Automation, Interviewing Skills, Business Ethics, Decision Making

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Answering Complex Questions Using Native Derived Tables with LookML

      Skills you'll gain: Looker (Software), Business Intelligence, Data Analysis Expressions (DAX), Dashboard, Ad Hoc Analysis, SQL

      Intermediate · Project · Less Than 2 Hours

    • G

      Google Cloud

      Service Directory: Qwik Start

      Skills you'll gain: Google Cloud Platform, Cloud Services, Cloud API

      Beginner · Project · Less Than 2 Hours

    • G

      Google Cloud

      Introduction to Image Generation - 繁體中文

      Skills you'll gain: Generative AI, Image Analysis, Machine Learning Methods, Deep Learning, Google Cloud Platform, Physics, Physical Science

      Beginner · Course · 1 - 4 Weeks

    • M

      Meta

      Android Mobile Lifecycle and Software Development Approaches

      Skills you'll gain:

      Beginner · Course

    • G

      Google Cloud

      Data Publishing on BigQuery using Authorized Views for Data Sharing Partners

      Skills you'll gain: Data Sharing, Customer Data Management, Data Integration, Big Data, Data Access, Business Intelligence, Google Cloud Platform

      Beginner · Project · Less Than 2 Hours

    • G

      Google Cloud

      ML Pipelines on Google Cloud en Español

      Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, CI/CD, Data Pipelines, Metadata Management, Machine Learning Methods, PyTorch (Machine Learning Library), Applied Machine Learning, Containerization

      Advanced · Course · 1 - 3 Months

    • G

      Google Cloud

      Export Data from Google Earth Engine to BigQuery

      Skills you'll gain: Looker (Software), Spatial Data Analysis, Data Import/Export, Data Visualization, Query Languages, Data Integration, Data Mapping, Big Data, Geographic Information Systems

      Beginner · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Sorumlu Yapay Zeka'ya Giriş

      Skills you'll gain: Data Ethics, Artificial Intelligence, Business Priorities, Accountability, Business Ethics, Ethical Standards And Conduct, Governance, Decision Making, Organizational Change

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      F

      Fred Hutchinson Cancer Center

      Smarter Scientific Software Development with GitHub Actions

      Skills you'll gain: Continuous Integration, Continuous Deployment, CI/CD, GitHub, Docker (Software), Scientific Methods, Software Development, Development Environment, Bioinformatics, Science and Research, Automation, Debugging, YAML

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Feature Engineering - 한국어

      Skills you'll gain: Feature Engineering, Dataflow, Tensorflow, Data Processing, Data Wrangling, Keras (Neural Network Library), Applied Machine Learning, Data Transformation, Machine Learning Methods, Machine Learning

      Intermediate · Course · 1 - 3 Months

    • M

      Meta

      The Web and Databases in Android

      Skills you'll gain:

      Beginner · Course

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

    • GenAI for Talent Acquisition: Smarter Candidate Screening: Coursera Instructor Network
    • Answering Complex Questions Using Native Derived Tables with LookML: Google Cloud
    • Service Directory: Qwik Start: Google Cloud
    • Introduction to Image Generation - 繁體中文: Google Cloud
    • Android Mobile Lifecycle and Software Development Approaches: Meta
    • Data Publishing on BigQuery using Authorized Views for Data Sharing Partners: Google Cloud
    • ML Pipelines on Google Cloud en Español: Google Cloud
    • Export Data from Google Earth Engine to BigQuery: Google Cloud
    • Sorumlu Yapay Zeka'ya Giriş: Google Cloud
    • Smarter Scientific Software Development with GitHub Actions: Fred Hutchinson Cancer Center

    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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