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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

      Applying Machine Learning to Your Data with GC - Français

      Skills you'll gain: Google Cloud Platform, Applied Machine Learning, Machine Learning, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Predictive Modeling, Test Data, Deep Learning, Data Processing, Image Analysis, Application Programming Interface (API), Natural Language Processing

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Looker Studio Pro Essentials - Português Brasileiro

      Skills you'll gain: Looker (Software), Collaborative Software, User Accounts, Security Controls, Business Reporting, Role-Based Access Control (RBAC), Scheduling, Data Visualization Software, Customer Support, Data Sharing, Administration, Auditing

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      W

      Whizlabs

      Azure AI & ML: Optimize Language Models for AI Applications

      Skills you'll gain: MLOps (Machine Learning Operations), Microsoft Azure, Prompt Engineering, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Applied Machine Learning, Large Language Modeling, Continuous Monitoring, Generative AI, Performance Tuning

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Interactive Web Content Using AJAX and JSON in JavaScript

      Skills you'll gain: Ajax, JSON, Javascript, Application Programming Interface (API), Web Development, Development Environment, Restful API, Web Applications, Hypertext Markup Language (HTML), GitHub, Data Structures

      Intermediate · Course · 1 - 4 Weeks

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

      Packt

      Advanced Web Exploits, Python Scripting & Network Attacks

      Skills you'll gain: Penetration Testing, OSI Models, Open Web Application Security Project (OWASP), TCP/IP, Network Security, General Networking, Cybersecurity, Large Language Modeling, Prompt Engineering, Vulnerability Assessments, Web Applications, Scripting, Generative AI, Python Programming, SQL, MySQL

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      S

      Simplilearn

      Generative AI Course in Software Testing and Documentation

      Skills you'll gain: Software Documentation, Test Automation, Generative AI, Software Testing, Vulnerability Assessments, Test Case, Software Quality Assurance, Application Security, Secure Coding, Full-Stack Web Development, Artificial Intelligence, Prompt Engineering, Technical Documentation, Application Programming Interface (API)

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      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: Applying AI Principles with GC - 简体中文

      Skills you'll gain: Governance, Data Ethics, Business Ethics, Governance Risk Management and Compliance, Google Cloud Platform, Compliance Auditing, Accountability, Auditing, Ethical Standards And Conduct, Artificial Intelligence and Machine Learning (AI/ML), Continuous Improvement Process

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Machine Learning in the Enterprise - 日本語版

      Skills you'll gain: Data Governance, MLOps (Machine Learning Operations), Data Management, Forecasting, Google Cloud Platform, Data Pipelines, Applied Machine Learning, Data Processing, Machine Learning, Artificial Neural Networks, Performance Tuning

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Gemini for Application Developers - 日本語版

      Skills you'll gain: Google Cloud Platform, Generative AI, Software Development Tools, Cloud Applications, Application Development, Integrated Development Environments, Prompt Engineering

      Beginner · Course · 1 - 4 Weeks

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

      Packt

      MS Teams – Security, Compliance, and Advanced Administration

      Skills you'll gain: Microsoft Teams, Data Loss Prevention, Data Governance, Role-Based Access Control (RBAC), Windows PowerShell, Enterprise Application Management, Security Management, Records Management, User Accounts, System Configuration, System Monitoring, Application Deployment, Information Assurance, Event Monitoring

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Getting Started with Application Development - Español

      Skills you'll gain: Cloud Applications, Cloud Development, Google Cloud Platform, Data Store, Cloud API, Application Development, Cloud Storage, Cloud Services, Data Storage, Microservices, Development Environment, Virtual Machines, Node.JS

      Intermediate · Course · 1 - 3 Months

    Searches related to data engineering

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    1…703704705…741

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

    • Applying Machine Learning to Your Data with GC - Français: Google Cloud
    • Looker Studio Pro Essentials - Português Brasileiro: Google Cloud
    • Azure AI & ML: Optimize Language Models for AI Applications: Whizlabs
    • Interactive Web Content Using AJAX and JSON in JavaScript: Packt
    • Advanced Web Exploits, Python Scripting & Network Attacks: Packt
    • Generative AI Course in Software Testing and Documentation: Simplilearn
    • Azure ML: Explore & Configure the Machine Learning Workspace: Whizlabs
    • Responsible AI: Applying AI Principles with GC - 简体中文: Google Cloud
    • Machine Learning in the Enterprise - 日本語版: Google Cloud
    • Gemini for Application Developers - 日本語版: 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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