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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

    • P

      Pontificia Universidad Católica de Chile

      Procesamiento de Imágenes

      Skills you'll gain: Image Analysis, Computer Vision, Data Processing, Python Programming, Algorithms, NumPy, Linear Algebra

      4.3
      Rating, 4.3 out of 5 stars
      ·
      13 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Quantifying Relationships with Regression Models

      Skills you'll gain: Regression Analysis, Correlation Analysis, Statistical Inference, Data Analysis, Statistical Modeling, Statistical Analysis, Probability & Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      21 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      D

      Dubai College of Tourism

      Introduction to Restaurant Revenue Management

      Skills you'll gain: Revenue Management, Restaurant Operation, Forecasting, Key Performance Indicators (KPIs), Hospitality Management, Customer Demand Planning, Trend Analysis, Performance Analysis, Financial Forecasting, Team Management, Price Negotiation, Performance Measurement, Data-Driven Decision-Making, Business Strategies

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Gemini in Google Meet

      Skills you'll gain: Google Workspace, Generative AI, Collaborative Software, Prompt Engineering

      4
      Rating, 4 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      K

      KodeKloud

      Python for the Absolute Beginner

      Skills you'll gain: Python Programming, Programming Principles, Data Structures, Debugging, Computer Programming, Scripting

      4.6
      Rating, 4.6 out of 5 stars
      ·
      21 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      CRISC: Certified in Risk and Information Systems Control

      Skills you'll gain: Threat Modeling, Risk Control, Vulnerability Assessments, Enterprise Architecture, Personally Identifiable Information, Risk Management Framework, Risk Management, IT Management, Risk Appetite, Compliance Reporting, Risk Mitigation, Risk Analysis, Business Continuity, Business Risk Management, Operational Risk, Information Privacy, Vulnerability Management, IT Security Architecture, Enterprise Risk Management (ERM), Information Assurance

      4.9
      Rating, 4.9 out of 5 stars
      ·
      26 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      Università di Napoli Federico II

      Finance

      Skills you'll gain: Market Liquidity, Financial Market, Portfolio Management, Securities Trading, Investments, Securities (Finance), Equities, Capital Markets, Finance, Market Dynamics, Risk Analysis, Economics, Fixed Asset, Market Data, Risk Modeling, Derivatives, Technical Analysis, Asset Management, Risk Management, Statistical Methods

      Intermediate · Specialization · 3 - 6 Months

    • P

      Packt

      Arduino Bootcamp - Learning Through Projects

      Skills you'll gain: Wireless Networks, Control Systems, Interactive Design, Software Installation, Electronics, Basic Electrical Systems, Hardware Design, Internet Of Things, Display Devices, Embedded Systems, Electronic Components, Development Environment, System Configuration, Programming Principles, Computer Programming

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Linux: I/O Redirection for DevOps

      Skills you'll gain: Bash (Scripting Language), Shell Script, Linux Commands, Unix Commands, Command-Line Interface, Linux, Unix Shell, Scripting

      4.8
      Rating, 4.8 out of 5 stars
      ·
      72 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Deep Learning for Real Estate Price Prediction

      Skills you'll gain: Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Tensorflow, Machine Learning Methods, Applied Machine Learning, Data Processing, Feature Engineering, Property and Real Estate, Predictive Modeling, Data Cleansing, Artificial Intelligence and Machine Learning (AI/ML), Data Manipulation, Performance Analysis, Real Estate, Regression Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      23 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Instructor Network

      Introduction to Prompt Injection Vulnerabilities

      Skills you'll gain: Large Language Modeling, Cybersecurity, Prompt Engineering, Cyber Security Strategy, Cyber Attacks, Threat Modeling, Risk Analysis, Application Security, Vulnerability Assessments, Network Security, Risk Mitigation, Natural Language Processing

      4.1
      Rating, 4.1 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Peking University

      社会调查与研究方法 (上)Methodologies in Social Research (Part I)

      Skills you'll gain: Research Methodologies, Surveys, Research Design, Experimentation, Research, Social Sciences, Scientific Methods, Data Collection, Qualitative Research, Sociology, Sample Size Determination, Probability & Statistics, Ethical Standards And Conduct

      4.7
      Rating, 4.7 out of 5 stars
      ·
      50 reviews

      Mixed · Course · 1 - 3 Months

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

    • Procesamiento de Imágenes: Pontificia Universidad Católica de Chile
    • Quantifying Relationships with Regression Models: Johns Hopkins University
    • Introduction to Restaurant Revenue Management : Dubai College of Tourism
    • Gemini in Google Meet: Google Cloud
    • Python for the Absolute Beginner: KodeKloud
    • CRISC: Certified in Risk and Information Systems Control: Packt
    • Finance: Università di Napoli Federico II
    • Arduino Bootcamp - Learning Through Projects: Packt
    • Linux: I/O Redirection for DevOps: Coursera Project Network
    • Deep Learning for Real Estate Price Prediction: 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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