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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

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Maryland, College Park

      Lean Enterprise Framework: Transform the Business Model

      Skills you'll gain: Innovation, Product Lifecycle Management, New Product Development, Design Thinking, Product Development, Product Management, Business Modeling, Product Strategy, Customer experience strategy (CX), Key Performance Indicators (KPIs), Value Propositions, Performance Measurement, Portfolio Management, Customer Insights, Business Metrics, Business Strategy, Persona Development, Lean Methodologies

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Check Point Software Technologies Ltd.

      Check Point Jump Start: Quantum Management

      Skills you'll gain: Threat Management, Threat Detection, Cyber Security Policies, Intrusion Detection and Prevention, Network Troubleshooting, Firewall, Security Management, Infrastructure Security, Network Administration, System Configuration, Software Installation, System Implementation

      Beginner · Course · 1 - 3 Months

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

      Packt

      Landscapes and Open World Creation

      Skills you'll gain: Unreal Engine, Virtual Environment, Computer Graphics, Game Design, Visualization (Computer Graphics), Video Game Development, Scalability, Performance Tuning

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Implementing Security in Dataplex

      Skills you'll gain: Identity and Access Management, Cloud Security, Google Cloud Platform, Data Lakes, Cloud Storage, Data Security, Data Access, Role-Based Access Control (RBAC)

      Beginner · Project · Less Than 2 Hours

    • Status: Free
      Free
      A

      Amazon Web Services

      AWS Wickr Getting Started

      Skills you'll gain: Encryption, Amazon Web Services, Cryptography, Telecommunications, Mobile Security, Data Sharing

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      투자 기술의 혁신: AI

      Skills you'll gain: FinTech, Wealth Management, Investments, Asset Management, Investment Management, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Financial Trading, Artificial Neural Networks, Artificial Intelligence, Data-Driven Decision-Making, Machine Learning

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      AI-Powered Development with Codepal: Write & Test To-Do App

      Skills you'll gain: Unit Testing, Code Review, Software Development Tools, Test Automation, Software Documentation, Maintainability, Application Development, Web Applications, Generative AI, Software Development, Javascript, Prompt Engineering, Version Control

      Intermediate · Guided Project · Less Than 2 Hours

    • G

      Google Cloud

      Getting Started with Google Cloud NetApp Volumes

      Skills you'll gain: Google Cloud Platform, Virtual Machines, Linux Servers, Data Storage, Cloud Storage, Data Storage Technologies

      Beginner · Project · Less Than 2 Hours

    • G

      Google Cloud

      BigQuery Fundamentals for Teradata Professionals

      Skills you'll gain: Teradata SQL, SQL, Data Import/Export, Google Cloud Platform, Extract, Transform, Load, Data Warehousing, Data Migration, Big Data, Database Design, Cloud Computing Architecture, Data Modeling, Data Security

      Intermediate · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Exploration et production de données pour les entreprises

      Skills you'll gain: Descriptive Statistics, Sampling (Statistics), Statistical Inference, Statistical Analysis, Statistical Methods, Data Analysis, Data Presentation, Quantitative Research, Histogram, Microsoft Excel, Statistical Visualization, Probability Distribution, Graphing

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Simplilearn

      Analytics, ROI, and Evaluation

      Skills you'll gain: Marketing Analytics, Web Analytics, Google Analytics, Key Performance Indicators (KPIs), Marketing Effectiveness, Performance Measurement, Business Metrics, Performance Metric, Marketing Strategies, Digital Marketing, Data-Driven Decision-Making, Return On Investment, Analytics, Heat Maps, Customer Engagement

      Beginner · Course · 1 - 4 Weeks

    • H

      H2O.ai

      H2O GPTe Learning Path

      Skills you'll gain: Large Language Modeling, Generative AI, Web Applications, Artificial Intelligence, Data Processing, Prompt Engineering, Agentic systems, Information Architecture, Application Programming Interface (API), Automation, Data Analysis

      Intermediate · Course · 1 - 3 Months

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

    • Lean Enterprise Framework: Transform the Business Model: University of Maryland, College Park
    • Check Point Jump Start: Quantum Management: Check Point Software Technologies Ltd.
    • Landscapes and Open World Creation: Packt
    • Implementing Security in Dataplex: Google Cloud
    • AWS Wickr Getting Started: Amazon Web Services
    • 투자 기술의 혁신: AI: University of Michigan
    • AI-Powered Development with Codepal: Write & Test To-Do App: Coursera Project Network
    • Getting Started with Google Cloud NetApp Volumes: Google Cloud
    • BigQuery Fundamentals for Teradata Professionals: Google Cloud
    • Exploration et production de données pour les entreprises: University of Illinois Urbana-Champaign

    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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