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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

      Planning for a Google Workspace Deployment - Français

      Skills you'll gain: Data Migration, Change Management, Google Workspace, Organizational Change, User Provisioning, Application Deployment, Enterprise Application Management, Cloud Computing, End User Training and Support, Systems Integration, Employee Training

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini for Cloud Architects - Português Brasileiro

      Skills you'll gain: Kubernetes, Google Cloud Platform, Infrastructure as Code (IaC), Cloud Management, Cloud Infrastructure, Generative AI Agents, Cloud Computing Architecture, Prompt Engineering, Command-Line Interface

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini in Google Meet - 日本語版

      Skills you'll gain: Google Workspace, Generative AI, Collaborative Software, Prompt Engineering

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini in Gmail - 简体中文

      Skills you'll gain: Gmail, Google Workspace, Prompt Engineering, Generative AI, AI Personalization

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Finalizing, Rendering & Advanced Lighting

      Skills you'll gain: 3D Modeling, Conceptual Design, Design, Computer Graphics, Visualization (Computer Graphics), Animations

      Intermediate · Course · 1 - 3 Months

    • M

      Microsoft

      Microsoft R Programming for Everyone

      Skills you'll gain:

      Beginner · Professional Certificate · 1 - 3 Months

    • Status: Free
      Free
      A

      Amazon Web Services

      Getting Started with Amazon Neptune

      Skills you'll gain: Amazon Web Services, Databases, Database Management, Database Administration, NoSQL, Database Architecture and Administration, Technical Design

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini for Network Engineers - 日本語版

      Skills you'll gain: Network Planning And Design, Google Cloud Platform, Virtual Private Networks (VPN), Network Architecture, Generative AI, Prompt Engineering, Cloud Engineering, Network Engineering, Network Administration

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini for Network Engineers - Deutsch

      Skills you'll gain: Google Cloud Platform, Generative AI, Prompt Engineering, Virtual Private Networks (VPN), Cloud Engineering, Network Engineering, Virtual Machines, General Networking, Network Architecture

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini for Network Engineers - Português Brasileiro

      Skills you'll gain: Google Cloud Platform, Generative AI, Virtual Private Networks (VPN), Prompt Engineering, Cloud Engineering, Network Engineering, Network Architecture, Cloud Management

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Comprende Cloud Spanner

      Skills you'll gain:

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Gemini for Security Engineers - Bahasa Indonesia

      Skills you'll gain: Google Cloud Platform, Cloud Security, Cloud Computing, Security Controls, Security Engineering, Generative AI, Vulnerability Assessments, System Configuration

      Beginner · Course · 1 - 4 Weeks

    Searches related to data engineering

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    1…726727728…735

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

    • Planning for a Google Workspace Deployment - Français: Google Cloud
    • Gemini for Cloud Architects - Português Brasileiro: Google Cloud
    • Gemini in Google Meet - 日本語版: Google Cloud
    • Gemini in Gmail - 简体中文: Google Cloud
    • Finalizing, Rendering & Advanced Lighting: Packt
    • Microsoft R Programming for Everyone: Microsoft
    • Getting Started with Amazon Neptune: Amazon Web Services
    • Gemini for Network Engineers - 日本語版: Google Cloud
    • Gemini for Network Engineers - Deutsch: Google Cloud
    • Gemini for Network Engineers - Português Brasileiro : Google Cloud

    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

    Coursera’s Data Engineering courses offer learners a deep dive into the technical skills required to design, build, and manage data infrastructure:

    • Techniques for designing data models and databases.
    • Skills in data warehousing and data lake construction and management.
    • Proficiency in big data technologies such as Hadoop, Spark, and Apache Kafka.
    • Best practices for data integration, ETL (extract, transform, load) processes, and pipeline construction.
    • Understanding of data quality management and data governance.
    • Application of automation and monitoring tools to maintain data systems.‎

    Data Engineering courses on Coursera cater to learners of all backgrounds:

    • Beginners can start with introductory courses that teach the basics of data infrastructure and SQL.
    • Those with some technical experience can focus on advanced topics like big data processing or cloud data services.
    • Advanced learners can explore specialized areas such as machine learning data pipelines or real-time data processing.‎

    Learners who complete Data Engineering courses on Coursera can earn credentials that may enhance their professional profiles:

    • Professional certificates that demonstrate a foundational understanding and practical skills in data engineering.
    • Specializations that focus on detailed aspects of data engineering, such as performance tuning, scalability, or security.
    • Certificates that can potentially be recognized by technology companies and other employers as evidence of expertise in data engineering.‎

    Skills in data engineering can lead to a variety of roles within the technology and analytics sectors:

    • Data Engineer, responsible for designing and managing scalable data systems.
    • Database Administrator, maintaining and optimizing database performance.
    • Cloud Solutions Architect, focusing on cloud storage and data services.
    • Data Architect, shaping strategic data practices and architectures.
    • Machine Learning Engineer, preparing data infrastructure for predictive models.‎

    Yes, Coursera offers a variety of free courses across many topics, including data engineering. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    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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