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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

    • Status: Free
      Free
      G

      Georgia Institute of Technology

      Machine Design Part I

      Skills you'll gain: Failure Analysis, Mechanical Design, Mechanical Engineering, Structural Analysis, Engineering Analysis, Engineering Design Process, Engineering Practices, Engineering Calculations, Verification And Validation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.2K reviews

      Intermediate · Course · 1 - 3 Months

    • I

      IBM

      BI Foundations with SQL, ETL and Data Warehousing

      Skills you'll gain: Data Warehousing, SQL, Extract, Transform, Load, Apache Airflow, Linux Commands, IBM Cognos Analytics, Data Pipelines, Apache Kafka, Bash (Scripting Language), Shell Script, Dashboard, File Management, Star Schema, Unix Shell, IBM DB2, Business Intelligence, Interactive Data Visualization, Databases, Stored Procedure, Relational Databases

      4.6
      Rating, 4.6 out of 5 stars
      ·
      24K reviews

      Beginner · Specialization · 3 - 6 Months

    • M

      Microsoft

      Data Analysis and Visualization with Power BI

      Skills you'll gain: Dashboard, Power BI, Data Storytelling, Data Visualization Software, Data Presentation, Advanced Analytics, Statistical Reporting, Interactive Data Visualization, Report Writing, Management Reporting, Business Intelligence, Data Analysis, Web Content Accessibility Guidelines, Key Performance Indicators (KPIs), Time Series Analysis and Forecasting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      755 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Pennsylvania

      Privacy Law and Data Protection

      Skills you'll gain: General Data Protection Regulation (GDPR), Law, Regulation, and Compliance, Information Privacy, Personally Identifiable Information, Regulatory Compliance, Data Security, Health Care Procedure and Regulation, Incident Response, Governance

      4.8
      Rating, 4.8 out of 5 stars
      ·
      787 reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Pennsylvania

      AI Fundamentals for Non-Data Scientists

      Skills you'll gain: Generative AI, Big Data, Machine Learning, Customer Data Management, Tensorflow, Artificial Intelligence, Deep Learning, Algorithms, Process Optimization, Data Analysis, Artificial Neural Networks, Natural Language Processing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      707 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of London

      Foundations of Data Science: K-Means Clustering in Python

      Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      716 reviews

      Beginner · Course · 1 - 3 Months

    • M

      Meta

      Meta Front-End Developer

      Skills you'll gain: Jest (JavaScript Testing Framework), Version Control, UI/UX Research, Usability Testing, Responsive Web Design, Data Structures, Unix Commands, HTML and CSS, Git (Version Control System), Persona (User Experience), GitHub, Interaction Design, User Experience Design, User Interface and User Experience (UI/UX) Design, Bootstrap (Front-End Framework), React.js, Mobile Development, Front-End Web Development, Algorithms, Javascript

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      22K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • G

      Google Cloud

      Preparing for Google Cloud Certification: Cloud Engineer

      Skills you'll gain: Cloud Infrastructure, Kubernetes, Google Cloud Platform, Identity and Access Management, Prompt Engineering, Cloud Storage, Containerization, Infrastructure As A Service (IaaS), Cloud Computing Architecture, Cloud Management, Cloud Services, Load Balancing, Cloud Engineering, Application Deployment, Infrastructure as Code (IaC), Virtual Machines, Cloud Computing, Data Storage, Network Infrastructure, Docker (Software)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      59K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • I

      ISAE-SUPAERO

      Fundamentals of Flight mechanics

      Skills you'll gain: Mechanics, Thermal Management, Mechanical Engineering, Risk Control, Physical Science, Simulations, Applied Mathematics, Systems Of Measurement, Vibrations, Engineering Analysis, Engineering Calculations, Physics, Safety Assurance, Mathematical Modeling, Energy and Utilities, Algebra, Differential Equations, Scientific Visualization

      4.7
      Rating, 4.7 out of 5 stars
      ·
      527 reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google

      The Bits and Bytes of Computer Networking

      Skills you'll gain: Computer Networking, Network Troubleshooting, Network Administration, TCP/IP, Network Protocols, Network Routing, Dynamic Host Configuration Protocol (DHCP), Virtual Private Networks (VPN), Network Security, Wireless Networks, Network Model, Data Integrity

      4.7
      Rating, 4.7 out of 5 stars
      ·
      51K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Foundations of Data Structures and Algorithms

      Skills you'll gain: Algorithms, Data Structures, Graph Theory, Operations Research, Theoretical Computer Science, Public Key Cryptography Standards (PKCS), Computational Thinking, Cryptography, Computer Science, Programming Principles, Pseudocode, Applied Mathematics, Encryption, Network Model, Linear Algebra, Combinatorics, Advanced Mathematics, Analysis, Mathematical Modeling, Tree Maps

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      787 reviews

      Advanced · Specialization · 3 - 6 Months

    • V

      Vanderbilt University

      Advanced Prompt Engineering for Everyone

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Large Language Modeling, Artificial Intelligence, Data Quality

      4.9
      Rating, 4.9 out of 5 stars
      ·
      270 reviews

      Intermediate · Course · 1 - 3 Months

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    1…181920…724

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

    • Machine Design Part I: Georgia Institute of Technology
    • BI Foundations with SQL, ETL and Data Warehousing: IBM
    • Data Analysis and Visualization with Power BI: Microsoft
    • Privacy Law and Data Protection: University of Pennsylvania
    • AI Fundamentals for Non-Data Scientists: University of Pennsylvania
    • Foundations of Data Science: K-Means Clustering in Python: University of London
    • Meta Front-End Developer: Meta
    • Preparing for Google Cloud Certification: Cloud Engineer: Google Cloud
    • Fundamentals of Flight mechanics: ISAE-SUPAERO
    • The Bits and Bytes of Computer Networking: Google

    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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