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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

    • G

      Google Cloud

      Generative AI with Vertex AI: Prompt Design

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

      4.5
      Rating, 4.5 out of 5 stars
      ·
      14 reviews

      Beginner · Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Coding and Automation for Data Analysis with Generative AI

      Skills you'll gain: Prompt Engineering, Excel Formulas, Generative AI, Data Pipelines, Data Ethics, Data Processing, Teradata SQL, Debugging, Microsoft Excel, Automation, Artificial Intelligence, Data Analysis, Integrated Development Environments

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      Build RAG Applications: Get Started

      Skills you'll gain: Generative AI, Artificial Intelligence, Prompt Engineering, Large Language Modeling, Application Development, Application Frameworks, User Interface (UI), Natural Language Processing, Jupyter

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Macquarie University

      Online teaching: Using Zoom to connect with learners

      Skills you'll gain: Education Software and Technology, Instructional Design, Virtual Environment, Collaboration, System Configuration, Safety and Security, User Accounts, Information Privacy, Communication Strategies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      68 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Advancing Women in Tech

      Building Products at Global Scale

      Skills you'll gain: Software Architecture, Systems Architecture, Technical Management, API Design, System Design and Implementation, Technical Product Management, Engineering Management, Program Management, Microservices, Cross-Functional Collaboration, Leadership and Management, Technology Roadmaps, Amazon Web Services

      4.4
      Rating, 4.4 out of 5 stars
      ·
      13 reviews

      Mixed · Course · 1 - 4 Weeks

    • N

      Northeastern University

      Ethics and Governance in the Age of Generative AI

      Skills you'll gain: Generative AI, Data Ethics, Data Governance, Governance, Artificial Intelligence, Machine Learning, Large Language Modeling, MLOps (Machine Learning Operations), Ethical Standards And Conduct, Emerging Technologies

      Beginner · Course · 1 - 3 Months

    • 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

    • D

      Duke University

      Object-Oriented Programming in Python

      Skills you'll gain: Object Oriented Programming (OOP), Programming Principles, Python Programming, Simulations

      4.1
      Rating, 4.1 out of 5 stars
      ·
      17 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Using Generative AI for Learning Design Activities

      Skills you'll gain: Generative AI, ChatGPT, Prompt Engineering, Brainstorming, Course Development, Educational Materials, Instructional Design, Artificial Intelligence, Persona Development

      4.8
      Rating, 4.8 out of 5 stars
      ·
      13 reviews

      Beginner · Course · 1 - 4 Weeks

    • 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
      A

      Arizona State University

      Sustainability Challenges for the Planet and Employers

      Skills you'll gain: Sustainability Reporting, Waste Minimization, Interactive Learning, Corporate Sustainability, Student Engagement, Environment, Environmental Issue, Key Performance Indicators (KPIs), Environment and Resource Management, Environmental Social And Corporate Governance (ESG), Process Analysis, Action Oriented, Peer Review, Presentations

      4.5
      Rating, 4.5 out of 5 stars
      ·
      17 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Instructor Network

      LangChain: Application Development Essentials

      Skills you'll gain: Application Development, OpenAI, Large Language Modeling, Application Frameworks, Generative AI, Artificial Intelligence, Prompt Engineering, Natural Language Processing

      3.3
      Rating, 3.3 out of 5 stars
      ·
      28 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Generative AI with Vertex AI: Prompt Design: Google Cloud
    • Coding and Automation for Data Analysis with Generative AI: Microsoft
    • Build RAG Applications: Get Started: IBM
    • Online teaching: Using Zoom to connect with learners : Macquarie University
    • Building Products at Global Scale: Advancing Women in Tech
    • Ethics and Governance in the Age of Generative AI: Northeastern University
    • Practical Engineering Data Mining: Techniques and Uses: Northeastern University
    • Object-Oriented Programming in Python: Duke University
    • Using Generative AI for Learning Design Activities : University of Michigan
    • Interpretable Machine Learning Applications: Part 2: 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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