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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
      R

      Rice University

      Introduction to Electricity and Magnetism

      Skills you'll gain: Basic Electrical Systems, Torque (Physics), Electrical Engineering, Electrical Systems, Electronic Components, Schematic Diagrams, Physics, Scientific Visualization, Electronic Systems, Mechanics, Calculus, Differential Equations, Mathematical Modeling, Applied Mathematics, Engineering Calculations, Problem Solving

      4.7
      Rating, 4.7 out of 5 stars
      ·
      218 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      ChatGPT + Zapier: AI-Powered Email Mastery

      Skills you'll gain: Prompt Engineering, ChatGPT, Workflow Management, Business Process Automation, Generative AI, Gmail, Automation, Spreadsheet Software, Productivity Software, Microsoft Excel, Process Optimization, Microsoft Outlook, Email Marketing, Artificial Intelligence, AI Personalization, Large Language Modeling, Operational Efficiency, Data Mapping, Data Entry, Organizational Skills

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.3K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Preview
      Preview
      U

      University of Michigan

      Ethics in Engineering

      Skills you'll gain: Failure Analysis, Business Ethics, Ethical Standards And Conduct, Engineering Practices, Engineering Management, Systems Engineering, Engineering, Control Systems, Environmental Social And Corporate Governance (ESG), Safety Assurance, Compliance Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      78 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      P

      Princeton University

      Algorithms, Part I

      Skills you'll gain: Algorithms, Data Structures, Programming Principles, Theoretical Computer Science, Java, Java Programming, Computational Thinking, Object Oriented Programming (OOP), Performance Testing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      12K reviews

      Intermediate · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Information Technology (IT) and Cloud Fundamentals

      Skills you'll gain: Software Development Life Cycle, Cloud Computing Architecture, Computing Platforms, Microsoft Windows, Cloud Computing, Cloud Security, Encryption, Computer Hardware, Cloud Services, Cloud Infrastructure, Cybersecurity, Operating Systems, Cyber Attacks, Data Storage, Network Protocols, Software Development, Hardware Troubleshooting, Network Administration, Desktop Support, Peripheral Devices

      4.7
      Rating, 4.7 out of 5 stars
      ·
      11K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Meta Back-End Developer

      Skills you'll gain: Full-Stack Web Development, Database Design, Version Control, Unix Commands, Restful API, Django (Web Framework), Relational Databases, Git (Version Control System), SQL, HTML and CSS, API Design, GitHub, Database Management, Application Programming Interface (API), MySQL, Data Structures, Object Oriented Programming (OOP), Computer Programming, Python Programming, Cloud Hosting

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9.4K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Natural Language Processing

      Skills you'll gain: Natural Language Processing, Markov Model, Supervised Learning, Large Language Modeling, Applied Machine Learning, Machine Learning Methods, Text Mining, Artificial Neural Networks, Dimensionality Reduction, Deep Learning, Regression Analysis, Feature Engineering, Algorithms, Bayesian Statistics, PyTorch (Machine Learning Library), Machine Learning Algorithms, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.1K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Data Analysis with Spreadsheets and SQL

      Skills you'll gain: Spreadsheet Software, Data Visualization, Dashboard, Data Visualization Software, Tableau Software, Data Analysis, Google Sheets, Data Storytelling, Descriptive Statistics, Trend Analysis, Exploratory Data Analysis, SQL, Data Manipulation, Data Cleansing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      246 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Health Informatics

      Skills you'll gain: Health Informatics, Health Information Management, Interoperability, Health Care, Change Management, Health Technology, Workflow Management, Healthcare Industry Knowledge, Decision Support Systems, Process Improvement, Health Care Administration, Health Information Management and Medical Records, Medical Records, Organizational Change, Data-Driven Decision-Making, Solution Design, Clinical Data Management, Information Technology, Strategic Leadership, Data Science

      4.4
      Rating, 4.4 out of 5 stars
      ·
      929 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Health Information Literacy for Data Analytics

      Skills you'll gain: Data Validation, Data Quality, Data Governance, Extract, Transform, Load, Data Dictionary, Health Information Management, Data Modeling, Health Informatics, Data Management, Data Cleansing, Data Integration, Metadata Management, Analytical Skills, Medical Records, Health Care, Analytics, Analysis, Health Systems, Data Integrity, Data Warehousing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      276 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Preview
      Preview
      É

      École Polytechnique

      Seismology to Earthquake Engineering

      Skills you'll gain: Structural Engineering, Vibrations, Structural Analysis, Engineering Analysis, Civil Engineering, Mathematical Modeling, Engineering Calculations, Mechanics, Risk Control, Physical Science, Simulation and Simulation Software

      4.2
      Rating, 4.2 out of 5 stars
      ·
      36 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Calculus for Machine Learning and Data Science

      Skills you'll gain: Calculus, Applied Mathematics, Advanced Mathematics, Numerical Analysis, Mathematical Modeling, Deep Learning, Machine Learning, Artificial Neural Networks, Python Programming, Visualization (Computer Graphics), Derivatives

      4.8
      Rating, 4.8 out of 5 stars
      ·
      872 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Introduction to Electricity and Magnetism: Rice University
    • ChatGPT + Zapier: AI-Powered Email Mastery: Vanderbilt University
    • Ethics in Engineering: University of Michigan
    • Algorithms, Part I: Princeton University
    • Information Technology (IT) and Cloud Fundamentals: IBM
    • Meta Back-End Developer: Meta
    • Natural Language Processing: DeepLearning.AI
    • Data Analysis with Spreadsheets and SQL: Meta
    • Health Informatics: Johns Hopkins University
    • Health Information Literacy for Data Analytics: University of California, Davis

    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)

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