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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

    • W

      Workday

      Workday Basics Series

      Skills you'll gain: Workday (Software), Business Process, Workflow Management, Business Reporting, System Configuration, Role-Based Access Control (RBAC), Enterprise Security, Organizational Structure, Data Access, Multi-Tenant Cloud Environments

      4.8
      Rating, 4.8 out of 5 stars
      ·
      269 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      Imperial College London

      Mathematics for Machine Learning: PCA

      Skills you'll gain: Dimensionality Reduction, NumPy, Probability & Statistics, Feature Engineering, Jupyter, Data Science, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Machine Learning, Calculus

      4
      Rating, 4 out of 5 stars
      ·
      3.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • M

      Microsoft

      Data Storage in Microsoft Azure for Associate Developers

      Skills you'll gain: Cloud Storage, Data Storage, Microsoft Azure, Data Storage Technologies, Cloud Applications, Azure Active Directory, Cloud Security, Data Security, Application Development, Application Programming Interface (API), Key Management, Authentications, Unstructured Data

      4.6
      Rating, 4.6 out of 5 stars
      ·
      29 reviews

      Intermediate · Course · 1 - 3 Months

    • D

      Duke University

      Programming Fundamentals

      Skills you'll gain: Programming Principles, Algorithms, Pseudocode, Computational Thinking, Computer Programming, Data Structures, Software Testing, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.9K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      University of Washington

      Computational Neuroscience

      Skills you'll gain: Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Neurology, Computer Science, Reinforcement Learning, Computational Thinking, Mathematical Modeling, Biology, Linear Algebra, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      D

      Duke University

      Renewable Energy and Green Building Entrepreneurship

      Skills you'll gain: Innovation, Entrepreneurship, Team Building, Business Modeling, Environmental Issue, Business Planning, New Business Development, Business Strategy, Corporate Sustainability, Business Development, Entrepreneurial Finance, Action Oriented, Environment and Resource Management, Stakeholder Engagement, Market Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.8K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      É

      École Polytechnique

      Fundamentals of Fluid-Solid Interactions

      Skills you'll gain: Vibrations, Engineering Analysis, Civil Engineering, Mechanical Engineering, Engineering, Mechanics, Chemical and Biomedical Engineering, Applied Mathematics, Mathematical Modeling, Differential Equations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      722 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Data Management with Databricks: Big Data with Delta Lakes

      Skills you'll gain: Databricks, Data Lakes, Data Pipelines, Data Integration, Extract, Transform, Load, Dashboard, PySpark, SQL, Data Management, Data Transformation, Version Control

      4.2
      Rating, 4.2 out of 5 stars
      ·
      25 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • N

      New York University

      Introduction to Cyber Attacks

      Skills you'll gain: Security Engineering, Threat Modeling, Distributed Denial-Of-Service (DDoS) Attacks, Cyber Attacks, Cybersecurity, Cyber Risk, Information Systems Security, Network Security, Computer Security, Malware Protection, Encryption, Data Integrity

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.9K reviews

      Beginner · Course · 1 - 4 Weeks

    • A

      Automatic Data Processing, Inc. (ADP)

      The Payroll Professional

      Skills you'll gain: Payroll, Payroll Administration, Payroll Systems, Payroll Processing, Compensation Strategy, Payroll Reporting, Human Resource Strategy, Human Resources, Customer Service, Continuous Improvement Process, Complex Problem Solving

      4.7
      Rating, 4.7 out of 5 stars
      ·
      327 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      U

      University of California, Davis

      Web Development for Beginners

      Skills you'll gain: Responsive Web Design, Color Theory, Version Control, Typography, HTML and CSS, Cascading Style Sheets (CSS), Hypertext Markup Language (HTML), GitHub, Git (Version Control System), Web Design, Web Design and Development, Web Development, Web Content Accessibility Guidelines, Front-End Web Development, Application Deployment, Web Applications, Design Elements And Principles, Animations, Web Content, Mobile Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      N

      National Taiwan University

      3D CAD Fundamental

      Skills you'll gain: 3D Modeling, SketchUp (3D Modeling Software), Software Installation, Visualization (Computer Graphics), Computer Graphics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      649 reviews

      Beginner · Course · 1 - 3 Months

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

    • Workday Basics Series: Workday
    • Mathematics for Machine Learning: PCA: Imperial College London
    • Data Storage in Microsoft Azure for Associate Developers: Microsoft
    • Programming Fundamentals: Duke University
    • Computational Neuroscience: University of Washington
    • Renewable Energy and Green Building Entrepreneurship: Duke University
    • Fundamentals of Fluid-Solid Interactions: École Polytechnique
    • Data Management with Databricks: Big Data with Delta Lakes: Coursera Project Network
    • Introduction to Cyber Attacks: New York University
    • The Payroll Professional: Automatic Data Processing, Inc. (ADP)

    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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