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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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    Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.
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    Explore the Data Engineering Course Catalog

    • Status: New
      New
      U

      University of Illinois Urbana-Champaign

      Understanding the Healthcare Innovation Process I

      Skills you'll gain: Product Development, New Product Development, Risk Management, Product Design, Innovation, Healthcare Industry Knowledge, Industrial Design, Business Risk Management, Stakeholder Engagement, Health Care Procedure and Regulation, User Requirements Documents, Market Opportunities, Health Care, Cost Benefit Analysis, Return On Investment, Customer Demand Planning, Regulatory Requirements, Project Management, Forecasting, Financial Analysis

      Intermediate · Course · 1 - 4 Weeks

    • I

      Imperial College London

      Master of Science in Machine Learning and Data Science

      Skills you'll gain: Supervised Learning, Data Ethics, Unsupervised Learning, Exploratory Data Analysis, PySpark, Bayesian Statistics, Data Pipelines, Ggplot2, Dimensionality Reduction, Linear Algebra, Data Processing, Big Data, Anomaly Detection, Data Analysis, Data Visualization, A/B Testing, Deep Learning, Unstructured Data, Applied Machine Learning, Learning Strategies

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Colorado Boulder

      Master of Engineering in Engineering Management

      Skills you'll gain: Object Oriented Design, User Story, SQL, Systems Engineering, New Product Development, Field-Programmable Gate Array (FPGA), Strategic Decision-Making, Delegation Skills, Sampling (Statistics), Failure Analysis, Diversity Equity and Inclusion Initiatives, Supplier Management, Sustainability Reporting, Data Ethics, Data Mining, Statistical Modeling, Unsupervised Learning, Goal Setting, Proposal Writing, Generative AI

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      P

      Packt

      ATtiny Microcontroller Development for Arduino Programmers

      Skills you'll gain: Embedded Software, Development Environment, Embedded Systems, Electronic Hardware, 3D Modeling, Hardware Design, Integrated Development Environments, Electronic Components, Program Development, Internet Of Things, Computer Architecture, Computer Programming, Real Time Data

      Intermediate · Course · 3 - 6 Months

    • G

      Google Cloud

      Preparing for Professional Cloud Network Engineer 日本語版

      Skills you'll gain: Network Troubleshooting, Google Cloud Platform, Cloud Engineering, Network Planning And Design, Hybrid Cloud Computing, Network Monitoring, Network Architecture, Cloud Infrastructure, Network Administration, Virtual Private Networks (VPN), Kubernetes, Cloud Computing, Load Balancing, Firewall, Network Security, Virtual Machines

      Advanced · Course · 1 - 3 Months

    • G

      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

    • G

      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

    • G

      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

    • G

      Google Cloud

      Work with Gemini Models in BigQuery - Bahasa Indonesia

      Skills you'll gain: Generative AI, Customer Relationship Management, Predictive Modeling, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), SQL, Business Workflow Analysis, Big Data, Artificial Intelligence, Business Solutions, Python Programming, Data Analysis Software

      Intermediate · Course · 1 - 4 Weeks

    • G

      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

    • G

      Google Cloud

      Gemini for end-to-end SDLC - Français

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

      Beginner · Course · 1 - 4 Weeks

    • G

      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

    • Understanding the Healthcare Innovation Process I: University of Illinois Urbana-Champaign
    • Master of Science in Machine Learning and Data Science: Imperial College London
    • Master of Engineering in Engineering Management: University of Colorado Boulder
    • ATtiny Microcontroller Development for Arduino Programmers: Packt
    • Preparing for Professional Cloud Network Engineer 日本語版: Google Cloud
    • Responsible AI for Developers: Interpretability & Transparency - 简体中文: Google Cloud
    • Work with Gemini Models in BigQuery - Deutsch: Google Cloud
    • Responsible AI for Developers: Fairness & Bias - Italiano: Google Cloud
    • Work with Gemini Models in BigQuery - Bahasa Indonesia: 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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