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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

    • É

      École Polytechnique Fédérale de Lausanne

      Mécanique Lagrangienne

      Skills you'll gain: Mechanics, Vibrations, Advanced Mathematics, Physics, Differential Equations, Linear Algebra, Calculus, Mathematical Modeling, Applied Mathematics, Experimentation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      37 reviews

      Mixed · Course · 1 - 3 Months

    • I

      ISC2

      Systems and Application Security

      Skills you'll gain: Malware Protection, Endpoint Security, Mobile Security, Cloud Security, Application Security, Cloud Computing, Threat Detection, Cybersecurity, Virtualization, Virtual Machines, Intrusion Detection and Prevention, Human Factors (Security), Encryption

      4.8
      Rating, 4.8 out of 5 stars
      ·
      19 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Packt

      R Programming for Statistics and Data Science

      Skills you'll gain: R Programming, Statistical Hypothesis Testing, Ggplot2, Data Visualization, Data Manipulation, Exploratory Data Analysis, Tidyverse (R Package), Statistical Modeling, Data Analysis, Regression Analysis, Data Structures, Data Wrangling, Statistical Analysis, Descriptive Statistics, Programming Principles, Data Transformation, Statistical Inference, Probability & Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      A

      Adobe

      Multichannel Content Marketing

      Skills you'll gain: Content Marketing, Marketing Strategies, Cross-Channel Marketing, Marketing Effectiveness, MarTech, Campaign Management, Marketing Automation, Diversity Marketing, Content Strategy, Lead Generation, Marketing Analytics, Market Research, Presentations, Competitive Analysis, Data-Driven Decision-Making, Business Ethics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      22 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Packt

      Postman Tutorial: Getting Started with API Testing

      Skills you'll gain: Postman API Platform, Application Programming Interface (API), Software Testing, Restful API, Development Environment, Collaborative Software, Web Development Tools, JSON, Data Import/Export, Authentications

      4.5
      Rating, 4.5 out of 5 stars
      ·
      17 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      J

      Johns Hopkins University

      Trustworthy AI: Managing Bias, Ethics, and Accountability

      Skills you'll gain: Data Ethics, Business Ethics, Accountability, Artificial Intelligence and Machine Learning (AI/ML), Ethical Standards And Conduct, Risk Analysis, Compliance Management, Law, Regulation, and Compliance, Risk Mitigation, Diversity Awareness, Strategic Decision-Making, Social Sciences, Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of London

      Use C++ to build a Crypto Trading Platform: Final System

      Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Programming Principles, Program Development, Computer Programming, Data Structures, Development Environment, Debugging

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Explainable Machine Learning (XAI)

      Skills you'll gain: Large Language Modeling, Generative AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Image Analysis, Machine Learning, Visualization (Computer Graphics), Deep Learning, Predictive Analytics, Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      17 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      GenAI and LLMs on AWS

      Skills you'll gain: AWS SageMaker, Large Language Modeling, MLOps (Machine Learning Operations), Amazon Web Services, Personally Identifiable Information, Amazon CloudWatch, Continuous Monitoring, Amazon Elastic Compute Cloud, General Data Protection Regulation (GDPR), Data Ethics, Secure Coding, Prompt Engineering, Rust (Programming Language), Generative AI, Software Development Tools, Cloud Computing, Serverless Computing, Development Environment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      20 reviews

      Beginner · Course · 1 - 4 Weeks

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

      Packt

      Data Analysts' Toolbox - Excel, Power BI, Python, & Tableau

      Skills you'll gain: Power BI, Data Storytelling, Dashboard, Alteryx, Data Analysis Expressions (DAX), Pivot Tables And Charts, R Programming, Microsoft Excel, Data Visualization Software, Data Visualization, Statistical Programming, Tableau Software, Data Transformation, Interactive Data Visualization, Business Reporting, Automation, Python Programming, Programming Principles, Scripting, Debugging

      4.3
      Rating, 4.3 out of 5 stars
      ·
      6 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Capstone MOOC for "Android App Development"

      Skills you'll gain: Android Development, Android Studio, Software Testing, Mobile Development, Java, Development Testing, Unit Testing, Application Development, Mobile Development Tools, Integration Testing, User Interface (UI), Service Management

      4.4
      Rating, 4.4 out of 5 stars
      ·
      67 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Gemini in Google Sheets

      Skills you'll gain: Workflow Management, Productivity Software, Google Sheets, Prompt Engineering, Google Workspace, Generative AI, Project Planning, Spreadsheet Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to data engineering

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    1…362363364…740

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

    • Mécanique Lagrangienne: École Polytechnique Fédérale de Lausanne
    • Systems and Application Security: ISC2
    • R Programming for Statistics and Data Science: Packt
    • Multichannel Content Marketing: Adobe
    • Postman Tutorial: Getting Started with API Testing: Packt
    • Trustworthy AI: Managing Bias, Ethics, and Accountability: Johns Hopkins University
    • Use C++ to build a Crypto Trading Platform: Final System: University of London
    • Explainable Machine Learning (XAI): Duke University
    • GenAI and LLMs on AWS: Duke University
    • Data Analysts' Toolbox - Excel, Power BI, Python, & Tableau: 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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