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    • Data Engineering

    Data Engineering Courses Online

    Learn data engineering for building data pipelines and infrastructure. Understand data integration, storage, and processing technologies.

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    Explore the Data Engineering Course Catalog

    • Google Cloud

      Responsible AI for Developers: Interpretability & Transparency - 简体中文

      Skills you'll gain: Data Ethics, Data Modeling, Data Analysis, MLOps (Machine Learning Operations), Artificial Intelligence, Exploratory Data Analysis, Applied Machine Learning, Machine Learning

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New

      Packt

      Data Persistence and Firebase Integration

      Skills you'll gain: JSON, Flutter (Software), User Interface and User Experience (UI/UX) Design, Mobile Development, Application Development, UI Components, Interactive Data Visualization, Application Programming Interface (API), Restful API, Database Development, Databases, Database Management, Debugging, Data Storage Technologies

      Intermediate · Course · 1 - 4 Weeks

    • Google Cloud

      Responsible AI for Developers: Privacy & Safety - Deutsch

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

      Intermediate · Course · 1 - 3 Months

    • Google Cloud

      Google Cloud Customer Care Fundamentals - Français

      Skills you'll gain: Customer Support, Google Cloud Platform, Technical Support, Service Level, Customer Complaint Resolution, Identity and Access Management, Technical Communication, Issue Tracking, Data Management

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Amazon Web Services

      Getting Started with Amazon DocumentDB (with MongoDB compatibility)

      Skills you'll gain: Amazon Web Services, MongoDB, NoSQL, Cloud-Based Integration, Cloud Applications, Operational Databases

      Beginner · Course · 1 - 4 Weeks

    • Google Cloud

      Gemini for end-to-end SDLC - 日本語版

      Skills you'll gain: Google Cloud Platform, Test Case, Software Development Life Cycle, Web Applications, Application Lifecycle Management, Software Development Tools, Application Development, Query Languages, Data Access, Debugging

      Beginner · Course · 1 - 4 Weeks

    • Google Cloud

      Responsible AI for Developers: Fairness & Bias - Italiano

      Skills you'll gain: Data Ethics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Open Source Technology, Google Cloud Platform, Machine Learning, Data Quality, Data Analysis

      Intermediate · Course · 1 - 3 Months

    • Microsoft

      Product Launch and Post-Launch Management

      Skills you'll gain: Product Lifecycle Management, Product Marketing, Marketing Planning, Product Management, New Product Development, Product Development, Quality Assurance and Control, Release Management, Sales Strategy, Marketing Strategies, Commercialization, Performance Analysis, Product Improvement, Process Improvement and Optimization, Key Performance Indicators (KPIs), User Feedback, Continuous Monitoring, Cross-Functional Collaboration, Data-Driven Decision-Making, Risk Mitigation

      Beginner · Course · 1 - 3 Months

    • Google Cloud

      Work with Gemini Models in BigQuery - Deutsch

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

      Intermediate · Course · 1 - 4 Weeks

    • Google Cloud

      Introduction to AI and Machine Learning on GC - 한국어

      Skills you'll gain: Generative AI, Google Cloud Platform, Cloud Infrastructure, MLOps (Machine Learning Operations), Big Data, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, PyTorch (Machine Learning Library), Machine Learning, Cloud API, Natural Language Processing

      Beginner · Course · 1 - 3 Months

    • Status: New
      New

      Google Cloud

      Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Español

      Skills you'll gain: Generative AI, MLOps (Machine Learning Operations), Continuous Monitoring, Google Cloud Platform, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Data Ethics, Data Quality

      Intermediate · Course · 1 - 4 Weeks

    • Google Cloud

      Google Cloud Customer Care Fundamentals - 简体中文

      Skills you'll gain: Client Support, Customer Support, Customer Service, Technical Support, Service Level, Cloud Services, Data Management, Issue Tracking, Technical Communication

      Beginner · Course · 1 - 4 Weeks

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

    • Responsible AI for Developers: Interpretability & Transparency - 简体中文: Google Cloud
    • Data Persistence and Firebase Integration: Packt
    • Responsible AI for Developers: Privacy & Safety - Deutsch: Google Cloud
    • Google Cloud Customer Care Fundamentals - Français: Google Cloud
    • Getting Started with Amazon DocumentDB (with MongoDB compatibility): Amazon Web Services
    • Gemini for end-to-end SDLC - 日本語版: Google Cloud
    • Responsible AI for Developers: Fairness & Bias - Italiano: Google Cloud
    • Product Launch and Post-Launch Management: Microsoft
    • Work with Gemini Models in BigQuery - Deutsch: Google Cloud
    • Introduction to AI and Machine Learning on GC - 한국어: 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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