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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
      Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Big Data Processing Using Hadoop

      Skills you'll gain: Apache Hadoop, Big Data, Apache Hive, Apache Spark, NoSQL, File Systems, Data Processing, Data Management, Analytics, Data Science, SQL, Query Languages, Data Manipulation, Java, Data Structures, Distributed Computing, Scripting Languages, Data Transformation, Infrastructure Architecture, Performance Tuning

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      B

      Board Infinity

      ISTQB Usability Tester Certification Preparation

      Skills you'll gain: Usability Testing, Usability, Human Centered Design, User Acceptance Testing (UAT), Software Testing, User Research, Surveys, Human Computer Interaction, UI/UX Research, Test Planning, Quality Assurance, Software Quality (SQA/SQC), Survey Creation, Verification And Validation, User Experience Design, User Experience, Risk Management Framework, User Interface (UI) Design, Technical Communication, Web Content Accessibility Guidelines

      3.1
      Rating, 3.1 out of 5 stars
      ·
      7 reviews

      Advanced · Specialization · 1 - 3 Months

    • C

      Coursera Instructor Network

      AI-Enhanced Content Creation:Elevate Copywriting with Humata

      Skills you'll gain: Prompt Engineering, Target Audience, AI Personalization, Blogs, Marketing Psychology, Copywriting, Advertising, Marketing Materials, Advertising Campaigns, Content Marketing, Generative AI, Content Creation, Facebook, Automation

      3.9
      Rating, 3.9 out of 5 stars
      ·
      15 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Project Network

      Data Validation with Alteryx: Testing and Optimization Tools

      Skills you'll gain: Data Validation, Data Cleansing, Alteryx, Data Quality, Microsoft Excel, Data Integrity, Data Processing, Data Integration, Test Tools, Anomaly Detection

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      D

      DeepLearning.AI

      AI Agentic Design Patterns with AutoGen

      Skills you'll gain: Generative AI Agents, Agentic systems, ChatGPT, Large Language Modeling, OpenAI, Artificial Intelligence, Prompt Engineering, Software Design Patterns

      4.4
      Rating, 4.4 out of 5 stars
      ·
      24 reviews

      Beginner · Project · Less Than 2 Hours

    • P

      Packt

      Mobile Development with .NET MAUI

      Skills you'll gain: Mobile Development, Cross Platform Development, Restful API, .NET Framework, Authentications, User Interface (UI), Application Programming Interface (API), C# (Programming Language), Microsoft Visual Studio, Model View Controller, Development Environment, Data Access, Software Design Patterns, Data Modeling

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Infosec

      Writing Secure Code in C++

      Skills you'll gain: Secure Coding, Computer Programming Tools, C and C++, Application Security, System Programming, C++ (Programming Language), C (Programming Language), Software Development Tools, Debugging, Software Engineering Tools, Embedded Systems, Interoperability, Unix, Vulnerability Assessments, Operating Systems, Data Security, Development Environment, Linux, Data Validation

      2.8
      Rating, 2.8 out of 5 stars
      ·
      32 reviews

      Intermediate · Specialization · 3 - 6 Months

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

      Packt

      Deploying Windows Clients & Managing Identities

      Skills you'll gain: Microsoft Windows, Authentications, Azure Active Directory, Microsoft Intune (Mobile Device Management Software), Identity and Access Management, Windows Servers, System Configuration, User Provisioning, Desktop Support, Active Directory, Remote Access Systems, Application Deployment, Software Installation, Role-Based Access Control (RBAC), Technical Support and Services, Automation, Data Migration

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Meta

      Preparación de la entrevista de codificación

      Skills you'll gain: Algorithms, Pseudocode, Data Structures, Programming Principles, Software Visualization, Computer Science, Computational Thinking, Computer Programming, Technical Communication

      4.7
      Rating, 4.7 out of 5 stars
      ·
      27 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Clean Data in SQL using MySQL Workbench

      Skills you'll gain: MySQL, MySQL Workbench, SQL, Data Cleansing, Query Languages, Data Manipulation, Database Management, Databases, Data Quality, Relational Databases, Data Entry

      4.7
      Rating, 4.7 out of 5 stars
      ·
      30 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • L

      LearnQuest

      AI 알고리즘 모델과 한계점

      Skills you'll gain: Predictive Modeling, Predictive Analytics, Machine Learning Algorithms, Machine Learning, Algorithms, Data Ethics, Statistical Modeling, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Machine Learning, Business Ethics, Ethical Standards And Conduct

      4.3
      Rating, 4.3 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Mejores prácticas para el procesamiento de datos en Big Data

      Skills you'll gain: Databricks, Real Time Data, PySpark, Apache Hive, Apache Spark, Big Data, Data Processing, SQL, Data Manipulation, Pandas (Python Package)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      43 reviews

      Intermediate · Guided Project · Less Than 2 Hours

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

    • Big Data Processing Using Hadoop: Johns Hopkins University
    • ISTQB Usability Tester Certification Preparation: Board Infinity
    • AI-Enhanced Content Creation:Elevate Copywriting with Humata: Coursera Instructor Network
    • Data Validation with Alteryx: Testing and Optimization Tools: Coursera Project Network
    • AI Agentic Design Patterns with AutoGen: DeepLearning.AI
    • Mobile Development with .NET MAUI: Packt
    • Writing Secure Code in C++: Infosec
    • Deploying Windows Clients & Managing Identities: Packt
    • Preparación de la entrevista de codificación: Meta
    • Clean Data in SQL using MySQL Workbench: Coursera Project Network

    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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