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    Results for "data engineering"

    • Google Cloud

      Work with Gemini Models in BigQuery - 繁體中文

      Skills you'll gain: Generative AI, Google Cloud Platform, Big Data, Customer Relationship Management, SQL, Business Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • Google Cloud

      Responsible AI for Developers: Interpretability & Transparency - Italiano

      Skills you'll gain: Data Ethics, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), Machine Learning, Data Integrity, Artificial Intelligence, Technical Documentation, Data Governance

      Intermediate · Course · 1 - 4 Weeks

    • Google Cloud

      Responsible AI for Developers: Privacy & Safety - Français

      Skills you'll gain: Information Privacy, Cloud Security, Generative AI, Personally Identifiable Information, Google Cloud Platform, Data Security, Artificial Intelligence, Safety and Security, Encryption, Machine Learning

      Intermediate · Course · 1 - 3 Months

    • Google Cloud

      Gemini in Google Slides - Português Brasileiro

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

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New

      Google Cloud

      Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 日本語版

      Skills you'll gain: Generative AI, Continuous Monitoring, MLOps (Machine Learning Operations), Google Cloud Platform, Data Quality, Predictive Modeling, Machine Learning Methods, Machine Learning, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • Google Cloud

      Gemini in Google Sheets - 日本語版

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

      Beginner · Course · 1 - 4 Weeks

    • 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

    • 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

    • Google Cloud

      Google Cloud Customer Care Fundamentals - Bahasa Indonesia

      Skills you'll gain: Product Support, Help Desk Support, Cloud Management, Technical Support, Service Level, Technical Communication, Cloud Services, Issue Tracking, Data Loss Prevention

      Beginner · Course · 1 - 4 Weeks

    • 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

    • Status: Free
      Free

      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

    • Google Cloud

      Gemini for Cloud Architects - Deutsch

      Skills you'll gain: Google Cloud Platform, Generative AI, Kubernetes, Application Deployment, Prompt Engineering, Cloud Infrastructure, Shell Script, Infrastructure as Code (IaC), Cloud Computing Architecture

      Beginner · Course · 1 - 4 Weeks

    Searches related to data engineering

    data engineering professional certificate
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    data engineering in aws
    data engineering foundations
    data engineering: pipelines, etl, hadoop
    data engineering, big data, and machine learning on gcp
    data engineering capstone project
    data engineering on aws - foundations
    1…718719720…730

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

    • Work with Gemini Models in BigQuery - 繁體中文: Google Cloud
    • Responsible AI for Developers: Interpretability & Transparency - Italiano: Google Cloud
    • Responsible AI for Developers: Privacy & Safety - Français: Google Cloud
    • Gemini in Google Slides - Português Brasileiro: Google Cloud
    • Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 日本語版: Google Cloud
    • Gemini in Google Sheets - 日本語版: Google Cloud
    • Planning for a Google Workspace Deployment - Français: Google Cloud
    • Gemini in Gmail - 简体中文: Google Cloud
    • Google Cloud Customer Care Fundamentals - Bahasa Indonesia: Google Cloud
    • Gemini in Google Meet - 日本語版: Google Cloud

    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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