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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

    • C

      Coursera Project Network

      String Manipulation in C#: Develop a WordWand App

      Skills you'll gain: C# (Programming Language), Microsoft Visual Studio, Scripting, Data Validation, Integrated Development Environments, User Story, Debugging

      Intermediate · Guided Project · Less Than 2 Hours

    • P

      Packt

      Visual Studio Code for C# Developers

      Skills you'll gain: Debugging, Git (Version Control System), Microsoft Visual Studio, C# (Programming Language), .NET Framework, Development Environment, Integrated Development Environments, Program Development, Software Development Tools, Configuration Management

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      NLP – Machine Learning Models in Python

      Skills you'll gain: Dimensionality Reduction, Natural Language Processing, Text Mining, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Supervised Learning, Unsupervised Learning, Python Programming, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Linear Algebra, Algorithms

      Intermediate · Course · 1 - 3 Months

    • L

      LearnQuest

      인공 지능 데이터 공정성 및 편향

      Skills you'll gain: Data Ethics, Machine Learning, Game Theory, Algorithms, Ethical Standards And Conduct, Applied Machine Learning, Diversity Awareness, Artificial Intelligence, Predictive Modeling, Data Quality

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Essential Dashboarding & Storytelling Techniques

      Skills you'll gain: Dashboard, Tableau Software, Interactive Data Visualization, Data Storytelling, Data Visualization Software, Statistical Visualization, Histogram, Scatter Plots

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      B

      Board Infinity

      DApp Design and Development - Blockchain Technology Applied

      Skills you'll gain: Blockchain, Web Development Tools, React Redux, User Interface and User Experience (UI/UX) Design, Application Deployment, Application Development, React.js, Front-End Web Development, Application Security, Web Applications, Development Testing, Software Development Tools, Application Programming Interface (API), Back-End Web Development

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Kafka for Developers - Data Contracts Using Schema Registry

      Skills you'll gain: Apache Kafka, Spring Boot, Real Time Data, Data Pipelines, JSON, Java, Docker (Software)

      Intermediate · Course · 3 - 6 Months

    • C

      Coursera Project Network

      نشر تطبيق ويب باستخدام Docker و Kubernetes

      Skills you'll gain: Containerization, Docker (Software), Kubernetes, Application Deployment, Development Environment, CI/CD, DevOps, YAML, Cloud Applications, Infrastructure as Code (IaC), Database Application, MongoDB, Scalability, PostgreSQL

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Clemson University

      Applied Data Science

      Skills you'll gain: Dimensionality Reduction, Data Cleansing, Matplotlib, Regression Analysis, Unsupervised Learning, Data Science, Statistical Analysis, Statistical Methods, Descriptive Statistics, Data Analysis, Data Visualization Software, Applied Machine Learning, Pandas (Python Package), Big Data, Data-Driven Decision-Making, Exploratory Data Analysis, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Supervised Learning

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      The Ultimate ChatGPT Guide with React Native - Develop Mobile Apps

      Skills you'll gain: React Native, Application Deployment, Mobile Development, ChatGPT, User Interface and User Experience (UI/UX) Design, JSON, UI Components, Database Application, Application Development, Development Environment, Data Management, Debugging

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Plane und erstelle einen Aufgabenkalender in Trello

      Skills you'll gain: Calendar Management, Organizational Skills, Collaborative Software, Time Management, Collaboration

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      B

      Board Infinity

      Continuous Integration (CI) Insight for Agile Development

      Skills you'll gain: Continuous Integration, CI/CD, Test Automation, Continuous Delivery, Jenkins, Continuous Deployment, DevSecOps, Agile Software Development, Unit Testing, Integration Testing, Application Security, Automation

      Intermediate · Course · 1 - 4 Weeks

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    1…685686687…748

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

    • String Manipulation in C#: Develop a WordWand App : Coursera Project Network
    • Visual Studio Code for C# Developers: Packt
    • NLP – Machine Learning Models in Python: Packt
    • 인공 지능 데이터 공정성 및 편향: LearnQuest
    • Essential Dashboarding & Storytelling Techniques: University of Colorado Boulder
    • DApp Design and Development - Blockchain Technology Applied: Board Infinity
    • Kafka for Developers - Data Contracts Using Schema Registry: Packt
    • نشر تطبيق ويب باستخدام Docker و Kubernetes: Coursera Project Network
    • Applied Data Science: Clemson University
    • The Ultimate ChatGPT Guide with React Native - Develop Mobile Apps: Packt

    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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