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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

      MySQL with Information Technology

      Skills you'll gain: MySQL Workbench, MySQL, Database Management, Databases, Database Management Systems, Relational Databases, Management Information Systems

      4.5
      Rating, 4.5 out of 5 stars
      ·
      24 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Introduction to Generative AI for Developers With Copilot

      Skills you'll gain: Generative AI, Data Ethics, Microsoft Copilot, Software Development Tools, Program Development, Process Driven Development, Software Documentation, Artificial Intelligence, Code Review, Risk Management Framework

      4.6
      Rating, 4.6 out of 5 stars
      ·
      36 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      N

      Northeastern University

      Practical Engineering Data Mining: Techniques and Uses

      Skills you'll gain: Data Mining, Exploratory Data Analysis, Dimensionality Reduction, Data Cleansing, Data Transformation, Text Mining, Data-Driven Decision-Making, Forecasting, Big Data, Feature Engineering, Unstructured Data, Data Analysis, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Statistical Analysis, Data Visualization Software, Unsupervised Learning, Machine Learning, Regression Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Corporate Finance Institute

      Economics for Capital Markets

      Skills you'll gain: Financial Trading, Financial Market, Market Data, Economics, Capital Markets, Market Dynamics, Financial Policy, Market Trend, Banking, Investment Management, Forecasting

      4.8
      Rating, 4.8 out of 5 stars
      ·
      13 reviews

      Beginner · Course · 1 - 3 Months

    • P

      Politecnico di Milano

      Introduzione alla fisica sperimentale: meccanica, termodinamica

      Skills you'll gain: Mechanics, Physics, Hydraulics, Thermal Management, Engineering Analysis, Experimentation, Engineering Calculations, Systems Of Measurement, Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      24 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Instructor Network

      Foundations of Modern Mining

      Skills you'll gain: Regulatory Requirements, Project Closure, Operational Analysis, Plant Operations and Management, Operational Efficiency, Environment and Resource Management, Manufacturing and Production, Natural Resource Management, Material Handling, Prospecting and Qualification, Environmental Monitoring

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      N

      Northeastern University

      Future Healthcare Payment Models

      Skills you'll gain: Care Management, Healthcare Industry Knowledge, Health Policy, Payment Systems, Value Engineering, Health Care Administration, Medicare, Health Care, Performance Measurement, Primary Care, Cost Management, Insurance, Risk Management, Stakeholder Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      53 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Editing Table of Content and Layouts in Microsoft Word

      Skills you'll gain: Document Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      49 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      S

      SkillUp EdTech

      Mobile App Notifications, Databases, & Publishing

      Skills you'll gain: Flutter (Software), Mobile Development, React Native, Apple iOS, iOS Development, Back-End Web Development, Android Development, Application Development, UI Components, Application Deployment, Operational Databases, Database Development, Databases, Product Support, User Interface and User Experience (UI/UX) Design, Application Performance Management, Marketing Strategies

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 3 Months

    • T

      Technical University of Denmark (DTU)

      Ash-Related Operational Challenges in Energy Utilization of Sustainable Fuels

      Skills you'll gain: Energy and Utilities, Chemistry, Waste Minimization, Chemical Engineering, Process Engineering, Thermal Management, Environmental Engineering, Failure Analysis, Manufacturing Processes, Laboratory Testing, Mathematical Modeling, Experimentation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      27 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Interpretable Machine Learning Applications: Part 2

      Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Random Forest Algorithm, Data Processing, Machine Learning Algorithms, Machine Learning Methods, Predictive Modeling, Regression Analysis, Feature Engineering, Machine Learning, Exploratory Data Analysis, Performance Measurement

      4.2
      Rating, 4.2 out of 5 stars
      ·
      22 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      B

      Board Infinity

      Essential Testing Techniques in Software Development

      Skills you'll gain: Test Case, Software Testing, Integration Testing, Software Development Life Cycle, System Testing, Acceptance Testing, Maintainability, Regression Testing, Test Planning, Software Quality Assurance, Unit Testing, Functional Testing, User Acceptance Testing (UAT)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • MySQL with Information Technology: Coursera Project Network
    • Introduction to Generative AI for Developers With Copilot: Microsoft
    • Practical Engineering Data Mining: Techniques and Uses: Northeastern University
    • Economics for Capital Markets: Corporate Finance Institute
    • Introduzione alla fisica sperimentale: meccanica, termodinamica: Politecnico di Milano
    • Foundations of Modern Mining: Coursera Instructor Network
    • Future Healthcare Payment Models: Northeastern University
    • Editing Table of Content and Layouts in Microsoft Word: Coursera Project Network
    • Mobile App Notifications, Databases, & Publishing: SkillUp EdTech
    • Ash-Related Operational Challenges in Energy Utilization of Sustainable Fuels: Technical University of Denmark (DTU)

    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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