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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

    • E

      Emory University

      Reproducible Templates for Analysis and Dissemination

      Skills you'll gain: Rmarkdown, Knitr, Technical Documentation, Document Management, Technical Writing, R Programming, YAML, Hypertext Markup Language (HTML), File Management, GitHub, Cascading Style Sheets (CSS), Git (Version Control System), Version Control

      4.7
      Rating, 4.7 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Test-Driven Development

      Skills you'll gain: Continuous Delivery, Test Driven Development (TDD), Unit Testing, Continuous Deployment, Continuous Integration, CI/CD, Agile Methodology, Test Automation, Code Review, Maintainability, Software Development, Mockups, Software Development Methodologies, Test Case, Development Testing, Software Testing, Integration Testing, Debugging, Python Programming, Version Control

      4
      Rating, 4 out of 5 stars
      ·
      80 reviews

      Intermediate · Specialization · 3 - 6 Months

    • R

      Rice University

      Введение в анализ данных с помощью Excel

      Skills you'll gain: Pivot Tables And Charts, Excel Formulas, Graphing, Microsoft Excel, Spreadsheet Software, Data Analysis, Histogram, Scatter Plots, Data Import/Export, Data Manipulation, Data Management

      4.5
      Rating, 4.5 out of 5 stars
      ·
      12 reviews

      Mixed · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Transforming Data in R

      Skills you'll gain: Data Manipulation, Data Transformation, Pivot Tables And Charts, Data Cleansing, Data Integration, R Programming, Data Quality

      4.5
      Rating, 4.5 out of 5 stars
      ·
      24 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Instructor Network

      GenAI for Financial Data Analysis

      Skills you'll gain: Generative AI, Financial Data, Complex Problem Solving, Microsoft Copilot, Data Ethics, ChatGPT, Data-Driven Decision-Making, Data Analysis, Financial Modeling, Financial Analysis, Artificial Intelligence, Business Ethics

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      Edureka

      Generative AI Applications and Popular Tools

      Skills you'll gain: ChatGPT, Generative AI, Computer Vision, Image Analysis, OpenAI, Prompt Engineering, Large Language Modeling, Software Development Tools, GitHub, Natural Language Processing, Application Programming Interface (API)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Secure your Cloud Data

      Skills you'll gain: Microsoft Azure, Cloud Security, Data Security, Secure Coding, Network Security, Cloud Applications, Authorization (Computing), Role-Based Access Control (RBAC), Application Security, Microsoft SQL Servers, Web Applications, Cloud Development, Security Controls, Data Loss Prevention, Firewall, Relational Databases, Key Management, Threat Detection, Authentications, Encryption

      4.6
      Rating, 4.6 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      U

      Universidad de Palermo

      Data Science & Inteligencia Artificial aplicados a negocios

      Skills you'll gain: Data Ethics, Predictive Modeling, Business Transformation, Data-Driven Decision-Making, Business Leadership, Data Science, Business Analytics, Organizational Change, Innovation, Strategic Leadership, Artificial Intelligence, Natural Language Processing, Strategic Decision-Making, Applied Machine Learning, Ethical Standards And Conduct, Computer Vision

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      B

      Banco Interamericano de Desarrollo

      Transformación digital de Gobiernos

      Skills you'll gain: Governance, Cybersecurity, Data Management, Digital Transformation, Talent Management, User Centered Design, Data Governance, Human Resource Strategy, Interoperability, Policy Development, Public Policies, Strategic Communication, Stakeholder Management, Data Sharing, Public Administration, Project Design, Data-Driven Decision-Making, Economic Development, Business Transformation, Technology Strategies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      106 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      W

      Whizlabs

      Machine Learning Implementation and Operations in AWS

      Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Applied Machine Learning, Amazon Web Services, Scalability, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Application Deployment, Cloud Security, Disaster Recovery, Data Security

      4.3
      Rating, 4.3 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Sustainability Challenges for the Planet and Employers

      Skills you'll gain: Sustainability Reporting, Waste Minimization, Interactive Learning, Corporate Sustainability, Student Engagement, Environment, Environmental Issue, Key Performance Indicators (KPIs), Environment and Resource Management, Environmental Social And Corporate Governance (ESG), Process Analysis, Action Oriented, Peer Review, Presentations

      4.5
      Rating, 4.5 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      K

      KodeKloud

      Docker Basics for DevOps

      Skills you'll gain: Docker (Software), Containerization, Application Deployment, Devops Tools, DevOps, Linux Commands, Software Development Tools, Data Storage, Development Environment, YAML, General Networking, Software Installation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      31 reviews

      Beginner · Course · 1 - 3 Months

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

    • Reproducible Templates for Analysis and Dissemination : Emory University
    • Test-Driven Development: LearnQuest
    • Введение в анализ данных с помощью Excel: Rice University
    • Transforming Data in R: Coursera Project Network
    • GenAI for Financial Data Analysis: Coursera Instructor Network
    • Generative AI Applications and Popular Tools: Edureka
    • Secure your Cloud Data: Microsoft
    • Data Science & Inteligencia Artificial aplicados a negocios: Universidad de Palermo
    • Transformación digital de Gobiernos: Banco Interamericano de Desarrollo
    • Machine Learning Implementation and Operations in AWS: Whizlabs

    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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