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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
      E

      Edureka

      Securing and Monitoring AWS Infrastructure

      Skills you'll gain: Amazon CloudWatch, AWS Identity and Access Management (IAM), Amazon Web Services, Cloud Management, Cloud Computing, Cloud Security, System Monitoring, Network Architecture, Firewall, Network Security, Virtual Private Networks (VPN), Continuous Monitoring, Scalability, Encryption

      Intermediate · Course · 1 - 3 Months

    • K

      Kennesaw State University

      AI for Marketing: SWOT Analysis

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, Competitive Analysis, Analysis, Market Analysis, Artificial Intelligence, Business Ethics, Marketing Strategies

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Datenanalyse verwalten

      Skills you'll gain: Statistical Modeling, Exploratory Data Analysis, Data Analysis, Data Presentation, Statistical Analysis, Data Literacy, Team Management, Data-Driven Decision-Making, Statistical Inference, Data Collection, Communication Strategies

      Mixed · Course · 1 - 4 Weeks

    • 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

    • G

      Google Cloud

      ML Pipelines on Google Cloud - 日本語版

      Skills you'll gain: Google Cloud Platform, CI/CD, Apache Airflow, MLOps (Machine Learning Operations), Data Pipelines, Tensorflow, Continuous Deployment, Continuous Integration, Kubernetes, Metadata Management, PyTorch (Machine Learning Library), Applied Machine Learning, Containerization

      Advanced · Course · 1 - 3 Months

    • C

      Codio

      SQL for Security Specialist

      Skills you'll gain: PostgreSQL, Data Maintenance, Database Administration, Database Architecture and Administration, SQL, Secure Coding, Database Management, Relational Databases, Query Languages, Security Controls, Data Access, Data Security, Role-Based Access Control (RBAC), Threat Detection

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Using Beam ML to catch Toxicity in Gaming

      Skills you'll gain: Real Time Data, Scalability, Data Pipelines, Applied Machine Learning, MLOps (Machine Learning Operations), Machine Learning

      Intermediate · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Architecting with Google Kubernetes Engine: Workloads 한국어

      Skills you'll gain: Kubernetes, Cloud-Native Computing, Google Cloud Platform, Application Deployment, Load Balancing, Scalability, Containerization, YAML, Data Storage, General Networking, Cloud Security, Configuration Management

      Intermediate · Course · 1 - 3 Months

    • T

      The University of Edinburgh

      Climate Solutions: Mexico

      Skills you'll gain: Social Justice, Environment, Mitigation, Risk Control, Environmental Policy, Environmental Science, Action Oriented, Scientific Methods, Simulations

      Beginner · Course · 1 - 3 Months

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

      Packt

      CompTIA Cloud+ (CV0-003)

      Skills you'll gain: Cloud Computing Architecture, Cloud Infrastructure, Cloud Security, Cloud Computing, Incident Response, IT Security Architecture, Cloud Management, Disaster Recovery, Cloud Services, Capacity Management, Network Troubleshooting, Virtual Machines, Virtualization, Application Security, System Monitoring, Security Controls, Data Migration, Microsoft Azure, Cloud Storage, Network Security

      Intermediate · Specialization · 1 - 3 Months

    • U

      University of Maryland, College Park

      Product Management: Data Science and Agile Systems

      Skills you'll gain: Product Roadmaps, Agile Product Development, Backlogs, DevOps, Lean Methodologies, Analytics, Agile Methodology, Data-Driven Decision-Making, Data Analysis, Product Management, Data Management, Operational Efficiency, Risk Management, Data Science, Product Development, Innovation, Product Strategy

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Sales Ops: Automating Workflow Efficiency

      Skills you'll gain: Generative AI Agents, HubSpot CRM, Customer Relationship Management (CRM) Software, Sales Process, Business Workflow Analysis, Business Process Automation, Sales Management, Customer Relationship Management, Lead Generation, Workflow Management, Process Analysis, Sales Strategy, Sales, Automation, Data Entry, Operational Efficiency

      Intermediate · Course · 1 - 4 Weeks

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

    • Securing and Monitoring AWS Infrastructure: Edureka
    • AI for Marketing: SWOT Analysis: Kennesaw State University
    • Datenanalyse verwalten: Johns Hopkins University
    • Exploration et production de données pour les entreprises: University of Illinois Urbana-Champaign
    • ML Pipelines on Google Cloud - 日本語版: Google Cloud
    • SQL for Security Specialist: Codio
    • Using Beam ML to catch Toxicity in Gaming: Google Cloud
    • Architecting with Google Kubernetes Engine: Workloads 한국어: Google Cloud
    • Climate Solutions: Mexico: The University of Edinburgh
    • CompTIA Cloud+ (CV0-003): Packt

    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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