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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 Trial
      Free Trial
      U

      University of California, Davis

      Google SEO Fundamentals

      Skills you'll gain: Search Engine Optimization, Web Analytics and SEO, Keyword Research, Content Strategy, Digital Marketing, Content Performance Analysis, Content Creation, Artificial Intelligence, Information Architecture, User Experience

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.7K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Generative AI for Software Development

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Database Design, Software Documentation, Software Design Patterns, Database Systems, Collaborative Software, Software Testing, ChatGPT, Technical Documentation, Generative AI, Code Review, Software Architecture, System Design and Implementation, API Design, Dependency Analysis, Artificial Intelligence, Software Development Tools, Security Testing, Software Development

      4.6
      Rating, 4.6 out of 5 stars
      ·
      550 reviews

      Beginner · Professional Certificate · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Databases for Data Scientists

      Skills you'll gain: SQL, Database Design, Database Management Systems, NoSQL, Data Warehousing, Relational Databases, Database Management, Database Administration, Databases, Database Architecture and Administration, Query Languages, Database Theory, Data Modeling, Data Analysis, MongoDB, Big Data, Data Architecture, Data Access, Data Integrity, Data Manipulation

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • T

      The University of Edinburgh

      Astrobiology and the Search for Extraterrestrial Life

      Skills you'll gain: Biology, Life Sciences, Environment, Biochemistry, Microbiology, Research, Physical Science, Science and Research, Scientific Methods, Chemistry

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.6K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Advanced Machine Learning on Google Cloud

      Skills you'll gain: Natural Language Processing, MLOps (Machine Learning Operations), Tensorflow, Large Language Modeling, Reinforcement Learning, Computer Vision, Google Cloud Platform, Keras (Neural Network Library), Systems Design, Image Analysis, Hybrid Cloud Computing, Applied Machine Learning, Systems Architecture, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms, Distributed Computing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.5K reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      ChatGPT + Excel: Master Data, Make Decisions, Tell Stories

      Skills you'll gain: Data Storytelling, Data Presentation, Data Synthesis, Microsoft Excel, Infographics, Data Analysis, Data Cleansing, Data Import/Export, ChatGPT, Statistical Reporting, Data Integration, Data Transformation, Data Validation, Exploratory Data Analysis, Prompt Engineering, Data Quality, Generative AI

      4.8
      Rating, 4.8 out of 5 stars
      ·
      74 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Bioinformatics

      Skills you'll gain: Bioinformatics, Molecular Biology, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Data Analysis, Computational Thinking, Graph Theory, Markov Model, Biochemistry, Life Sciences, Microbiology, Statistical Analysis, Medical Science and Research, Precision Medicine, Biology, Pharmacology, Algorithms, Infectious Diseases, Data Mining

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IESE Business School

      Claves de la Dirección de Empresas

      Skills you'll gain: Strategic Marketing, People Management, Financial Accounting, Financial Statement Analysis, Financial Statements, Income Statement, Financial Data, Balance Sheet, Product Marketing, Marketing, Marketing Strategy and Techniques, Working Capital, Financial Analysis, Team Management, Organizational Leadership, General Accounting, Team Building, Financial Management, Business, Strategic Decision-Making

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      R

      Rutgers the State University of New Jersey

      Supply Chain Operations

      Skills you'll gain: Lean Six Sigma, Lean Manufacturing, Process Improvement, Operations Management, Production Process, Six Sigma Methodology, Operational Efficiency, Quality Improvement, Kanban Principles, Continuous Improvement Process, Inventory Control, Inventory Management System

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of London

      Responsive Website Development and Design

      Skills you'll gain: Responsive Web Design, HTML and CSS, Web Design, Human Computer Interaction, Interaction Design, jQuery, Bootstrap (Front-End Framework), Hypertext Markup Language (HTML), Usability, User Experience Design, User Accounts, MongoDB, User Interface and User Experience (UI/UX) Design, Web Design and Development, Wireframing, Persona (User Experience), Web Applications, Full-Stack Web Development, Interactive Data Visualization, JavaScript Frameworks

      4.5
      Rating, 4.5 out of 5 stars
      ·
      7.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Interfacing with the Arduino

      Skills you'll gain: Internet Of Things, Hardware Design, Electronic Hardware, Basic Electrical Systems, Electronics, Electrical Wiring, Electronic Components, Embedded Systems, Peripheral Devices, General Networking, Wireless Networks

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.9K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      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

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

    • Google SEO Fundamentals: University of California, Davis
    • Generative AI for Software Development: DeepLearning.AI
    • Databases for Data Scientists: University of Colorado Boulder
    • Astrobiology and the Search for Extraterrestrial Life: The University of Edinburgh
    • Advanced Machine Learning on Google Cloud: Google Cloud
    • ChatGPT + Excel: Master Data, Make Decisions, Tell Stories: Vanderbilt University
    • Bioinformatics: University of California San Diego
    • Claves de la Dirección de Empresas: IESE Business School
    • Supply Chain Operations: Rutgers the State University of New Jersey
    • Responsive Website Development and Design: University of London

    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

    Top courses include the Data Engineering Foundations from IBM, Introduction to Data Engineering with DeepLearning.AI, and Data Engineering, Big Data, and Machine Learning on GCP from Google Cloud. These programs teach how to design, build, and manage data pipelines using modern tools and cloud platforms.‎

    Yes. Many data engineering courses offer a free audit option, allowing learners to access video lessons and reading materials at no cost. To complete assignments or earn a certificate, you’ll need to upgrade or apply for financial aid.‎

    You’ll learn how to build and manage data processing systems, work with data warehouses and data lakes, use tools like SQL, Apache Spark, and Airflow, and understand how to design reliable and scalable data pipelines.‎

    Not necessarily. Many beginner-friendly courses start with the fundamentals and explain data engineering concepts clearly. However, some familiarity with programming and data analysis can be helpful as you progress to more advanced topics.‎

    Yes. Data engineering is a fast-growing field with high demand in tech, finance, healthcare, and many other industries. Coursera’s data engineering courses can help you build job-ready skills, prepare for certification exams, and earn certificates that showcase your expertise to employers.‎

    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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