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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

    • S

      Siemens

      응용 전산 유체 역학

      Skills you'll gain: Engineering Analysis, Thermal Management, Simulation and Simulation Software, Simulations, Mechanical Engineering, Numerical Analysis, Engineering, Mathematical Modeling, Differential Equations, Physics

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      Introduction to FinTech Using R

      Skills you'll gain: Shiny (R Package), FinTech, Financial Market, R Programming, Financial Forecasting, Asset Management, Financial Modeling, Financial Analysis, Market Trend, Artificial Intelligence, Web Applications, Portfolio Management, Time Series Analysis and Forecasting, Application Development, Algorithms

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Streaming Data to Bigtable

      Skills you'll gain: Dataflow, Google Cloud Platform, NoSQL, Cloud Storage, Data Pipelines, Data Integration, Data Storage Technologies, Data Processing, Big Data, Data Validation

      Beginner · Project · Less Than 2 Hours

    • Status: New
      New
      C

      Coursera Instructor Network

      Improving Diagnostic Accuracy with GenAI

      Skills you'll gain: Generative AI, Health Informatics, Generative AI Agents, Prompt Engineering, Precision Medicine, Patient Evaluation, Data Integration, Medical Imaging, Healthcare Ethics, Artificial Intelligence

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Meta

      التحضير لمقابلة عمل الترميز

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

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini for Data Scientists and Analysts - Bahasa Indonesia

      Skills you'll gain: Google Cloud Platform, Generative AI, Marketing Analytics, Customer Analysis, Customer Insights, Advanced Analytics, Analytics, Business Analytics, Predictive Modeling, Applied Machine Learning

      Beginner · Course · 1 - 4 Weeks

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

      University of Colorado Boulder

      Object-Oriented Analysis and Design: Practice & Architecture

      Skills you'll gain: Object Oriented Design, Object Oriented Programming (OOP), Software Design Patterns, Unified Modeling Language, Software Design, Software Architecture, Java Programming, User Interface and User Experience (UI/UX) Design, API Design, Software Development, Data Modeling, Databases

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Advanced Automation Frameworks and Testing with TestNG

      Skills you'll gain: Selenium (Software), Test Automation, Test Data, Test Case, Unit Testing, Software Testing, Test Execution Engine, Regression Testing, Integration Testing, Java, Performance Testing, Automation

      Intermediate · Course · 3 - 6 Months

    • P

      Packt

      AWS Tutorial: AWS Solutions Architect & SysOps Administrator

      Skills you'll gain: Amazon CloudWatch, Amazon Web Services, Cloud Computing, Cloud Security, AWS Identity and Access Management (IAM), Amazon Elastic Compute Cloud, Cloud Infrastructure, Amazon S3, Network Infrastructure, Application Performance Management, Cloud Storage, Virtual Private Networks (VPN), Scalability, Encryption, Load Balancing

      Beginner · Course · 3 - 6 Months

    • G

      Google Cloud

      Grounding Gemini Models in Vertex AI

      Skills you'll gain: Prompt Engineering, Google Cloud Platform, Generative AI, Large Language Modeling, Cloud API

      Beginner · Project · Less Than 2 Hours

    • H

      H2O.ai

      DataPrep for H2O Driverless AI

      Skills you'll gain: Supervised Learning, Machine Learning, Time Series Analysis and Forecasting, Data Quality, Unsupervised Learning, Data Cleansing, Data Analysis, Feature Engineering, Pandas (Python Package), Data Transformation, Exploratory Data Analysis, Classification And Regression Tree (CART), Regression Analysis

      Beginner · Course · 1 - 4 Weeks

    • H

      H2O.ai

      H2O Wave Starter Course

      Skills you'll gain: Application Development, User Interface (UI), Development Environment, ChatGPT, Cloud Applications, Generative AI, Artificial Intelligence, Application Deployment, Python Programming, Cloud Computing, Open Source Technology

      Intermediate · Course · 1 - 3 Months

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

    • 응용 전산 유체 역학: Siemens
    • Introduction to FinTech Using R: Packt
    • Streaming Data to Bigtable: Google Cloud
    • Improving Diagnostic Accuracy with GenAI: Coursera Instructor Network
    • التحضير لمقابلة عمل الترميز: Meta
    • Gemini for Data Scientists and Analysts - Bahasa Indonesia: Google Cloud
    • Object-Oriented Analysis and Design: Practice & Architecture: University of Colorado Boulder
    • Advanced Automation Frameworks and Testing with TestNG: Packt
    • AWS Tutorial: AWS Solutions Architect & SysOps Administrator: Packt
    • Grounding Gemini Models in Vertex AI: 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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