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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

      Open AI for Beginners: Programmatic Prompting

      Skills you'll gain: OpenAI, Prompt Engineering, JSON, Application Programming Interface (API), Web Applications, ChatGPT, Generative AI, Artificial Intelligence

      4.3
      Rating, 4.3 out of 5 stars
      ·
      16 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      SkillUp EdTech

      Generative AI: Transform Your Customer Support Career

      Skills you'll gain: Prompt Engineering, Standard Operating Procedure, Generative AI, Customer Support, ChatGPT, Customer Service, Customer experience improvement, Technical Support and Services, Procedure Development, Data Ethics, Artificial Intelligence, Customer Insights, User Feedback, Business Ethics, Language Interpretation, Translation, and Studies, Automation, Natural Language Processing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      38 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Problem-Solving

      Skills you'll gain: Problem Solving, Critical Thinking and Problem Solving, Complex Problem Solving, Creative Problem-Solving, Brainstorming, Root Cause Analysis, Decision Making, Data Collection

      4.3
      Rating, 4.3 out of 5 stars
      ·
      8 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Social Computing

      Skills you'll gain: Network Analysis, Graph Theory, Machine Learning, Applied Machine Learning, Social Sciences, Statistical Analysis, Amazon Web Services, R Programming, Tensorflow, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Research Design, Sociology, Human Machine Interfaces, Data Collection, Machine Learning Methods, Behavioral Economics, Analytics, Natural Language Processing, Game Design

      4.2
      Rating, 4.2 out of 5 stars
      ·
      8 reviews

      Intermediate · Specialization · 3 - 6 Months

    • F

      Fundação Instituto de Administração

      Gestão da Cadeia de Suprimentos

      Skills you'll gain: Supply Chain Management, Supply Chain, Supply Chain Planning, Transportation, Supply Chain, and Logistics, Logistics Management, Inventory Management System, Operations Management, Order Management, Business Technologies, Customer Demand Planning, Production Planning, Customer experience improvement, Data-Driven Decision-Making, Automation, Internet Of Things

      5
      Rating, 5 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Machine Learning Models in Science

      Skills you'll gain: Applied Machine Learning, Data Processing, Dimensionality Reduction, Data Cleansing, Machine Learning Algorithms, Data Transformation, Artificial Neural Networks, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Unsupervised Learning, Supervised Learning, Predictive Modeling, Python Programming

      4
      Rating, 4 out of 5 stars
      ·
      12 reviews

      Intermediate · Course · 1 - 4 Weeks

    • M

      Macquarie University

      Умения работы с Excel для бизнеса: уровень Intermediate I

      Skills you'll gain: Microsoft Excel, Spreadsheet Software, Dashboard, Excel Formulas, Data Analysis Software, Data Entry, Data Visualization, Automation, Data Management

      5
      Rating, 5 out of 5 stars
      ·
      60 reviews

      Intermediate · Course · 1 - 3 Months

    • P

      Pontificia Universidad Católica de Chile

      ¿Cómo viajamos por la ciudad? Asignación y equilibrio en redes de transporte.

      Skills you'll gain: Transportation Operations, Supply And Demand, Network Analysis, Operations Research, Network Model, Mathematical Modeling, Behavioral Economics, Economics, Algorithms, Applied Mathematics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      53 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Zurich

      Sprachtechnologie in den Digital Humanities

      Skills you'll gain: Extensible Markup Language (XML), Natural Language Processing, Unstructured Data, Language Competency, Digital Transformation, Machine Learning Methods, Data Analysis Software, Data Quality

      4.8
      Rating, 4.8 out of 5 stars
      ·
      22 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      T

      The Hong Kong University of Science and Technology

      Calculus for Engineers

      Skills you'll gain: Calculus, Engineering Calculations, Differential Equations, Integral Calculus, Engineering Analysis, Applied Mathematics, Numerical Analysis, Algebra, Advanced Mathematics, Trigonometry, Physics, Mathematical Theory & Analysis, Derivatives

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Building Autonomous AI Agents with LangGraph

      Skills you'll gain: Generative AI Agents, Agentic systems, OpenAI, Artificial Intelligence, ChatGPT, Generative AI, Query Languages, User Interface (UI), Prompt Engineering, Large Language Modeling, Software Architecture, UI Components, Natural Language Processing, Python Programming, Human Machine Interfaces, Application Frameworks, Automation, Development Environment

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Instructor Network

      GenAI for PR Specialists

      Skills you'll gain: Generative AI Agents, Public Relations, Content Creation, Marketing and Public Relations, Corporate Communications, Media Relations, Productivity Software, Crisis Management, Team Leadership, Data Ethics, Promotions and Campaigns, Social Media Campaigns

      3.9
      Rating, 3.9 out of 5 stars
      ·
      12 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Open AI for Beginners: Programmatic Prompting: Coursera Project Network
    • Generative AI: Transform Your Customer Support Career: SkillUp EdTech
    • Problem-Solving: Arizona State University
    • Social Computing: Johns Hopkins University
    • Gestão da Cadeia de Suprimentos: Fundação Instituto de Administração
    • Machine Learning Models in Science: LearnQuest
    • Умения работы с Excel для бизнеса: уровень Intermediate I: Macquarie University
    • ¿Cómo viajamos por la ciudad? Asignación y equilibrio en redes de transporte.: Pontificia Universidad Católica de Chile
    • Sprachtechnologie in den Digital Humanities: University of Zurich
    • Calculus for Engineers: The Hong Kong University of Science and Technology

    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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