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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

      Geliştiriciler için Sorumlu Yapay Zeka: Yorumlanabilirlik ve Şeffaflık

      Skills you'll gain: Data Ethics, Testability, Maintainability, Artificial Intelligence, Data Visualization Software, Applied Machine Learning, Machine Learning, Software Documentation

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      .NET 8 Backend Bootcamp – Modulith, DDD & CQRS

      Skills you'll gain: Containerization, Restful API, Microservices, Redis, Authentications, PostgreSQL, OAuth, .NET Framework, Application Programming Interface (API), Object Oriented Design, Software Design Patterns, Software Design, Scalability, Software Architecture, Event-Driven Programming, C# (Programming Language), Middleware, Data Migration, Systems Architecture, Maintainability

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      G

      Google Cloud

      Machine Learning in the Enterprise - Italiano

      Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Data Management, Data Governance, Workflow Management, Machine Learning, Data Pipelines, Predictive Modeling, Applied Machine Learning, Continuous Monitoring

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI for Developers: Fairness & Bias - Français

      Skills you'll gain: Data Ethics, Google Cloud Platform, Artificial Intelligence, Machine Learning, Machine Learning Methods, Data Quality, Data Validation

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI for Developers: Interpretability & Transparency - 한국어

      Skills you'll gain: Data Ethics, Artificial Intelligence, Applied Machine Learning, Data Analysis, Data Visualization Software, Exploratory Data Analysis, Machine Learning, Technical Documentation, Software Documentation

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini in Google Slides - 한국어

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

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Boost Productivity with Gemini in BigQuery - Français

      Skills you'll gain: Data Processing, Data Manipulation, Exploratory Data Analysis, Data Cleansing, Big Data, Data Transformation, Google Cloud Platform, Interactive Data Visualization, Generative AI, Debugging, Query Languages, SQL

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Fairness & Bias - 한국어

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

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Boost Productivity with Gemini in BigQuery - 简体中文

      Skills you'll gain: Data Pipelines, Exploratory Data Analysis, Google Cloud Platform, Data Cleansing, Interactive Data Visualization, Data Transformation, Data Analysis, Generative AI, SQL

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Fairness & Bias - Deutsch

      Skills you'll gain: Data Ethics, Artificial Intelligence, Google Cloud Platform, Open Source Technology, Machine Learning, Information Privacy, Data Quality, Data Validation

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      NLP – Machine Learning Models in Python

      Skills you'll gain: Natural Language Processing, Text Mining, Predictive Modeling, Applied Machine Learning, Unstructured Data, Statistical Machine Learning, Unsupervised Learning, Dimensionality Reduction, Python Programming, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning Algorithms, Machine Learning

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI for Developers: Privacy & Safety - 한국어

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

      Intermediate · Course · 1 - 3 Months

    Searches related to data engineering

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    1…713714715…726

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

    • Geliştiriciler için Sorumlu Yapay Zeka: Yorumlanabilirlik ve Şeffaflık: Google Cloud
    • .NET 8 Backend Bootcamp – Modulith, DDD & CQRS: Packt
    • Machine Learning in the Enterprise - Italiano: Google Cloud
    • Responsible AI for Developers: Fairness & Bias - Français: Google Cloud
    • Responsible AI for Developers: Interpretability & Transparency - 한국어: Google Cloud
    • Gemini in Google Slides - 한국어: Google Cloud
    • Boost Productivity with Gemini in BigQuery - Français: Google Cloud
    • Responsible AI for Developers: Fairness & Bias - 한국어: Google Cloud
    • Boost Productivity with Gemini in BigQuery - 简体中文: Google Cloud
    • Responsible AI for Developers: Fairness & Bias - Deutsch: 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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