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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: New
      New
      C

      Coursera Instructor Network

      GenAI for Sales Analytics

      Skills you'll gain: Sales Strategy, Customer Analysis, Sales, Sales Management, Generative AI, Customer Insights, Forecasting, Personalized Service, Data-Driven Decision-Making, Analytics, Artificial Intelligence, Predictive Modeling, Business Metrics

      Beginner · Course · 1 - 4 Weeks

    • N

      Northeastern University

      Intro to Improving the Patient Experience Through Analytics

      Skills you'll gain: Care Management, Health Informatics, Patient Education and Support, Patient Safety, Health Care, Analytics, Data Analysis, Predictive Analytics, Big Data, Data-Driven Decision-Making, Decision Support Systems, Artificial Intelligence

      Beginner · Course · 1 - 4 Weeks

    • N

      Nanyang Technological University, Singapore

      Beauty, Form & Function: An Exploration of Symmetry

      Skills you'll gain: Geometry, Design Elements And Principles, Chemistry, Art History, Architectural Design, Physical Science, Biochemistry, Applied Mathematics, Research

      3.7
      Rating, 3.7 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Cisco Learning and Certifications

      Threat Response

      Skills you'll gain: Incident Response, Computer Security Incident Management, Incident Management, Threat Detection, General Networking, Network Security, Cybersecurity, Infrastructure Security, Computer Networking, Record Keeping, Data Management

      4.9
      Rating, 4.9 out of 5 stars
      ·
      54 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Secure Your Data at Rest

      Skills you'll gain: Data Security, Cloud Security, Azure Active Directory, Microsoft Azure, Data Storage, Microsoft SQL Servers, Data Encryption Standard, Authorization (Computing), Authentications, Database Management, Data Governance, Key Management, Role-Based Access Control (RBAC), Threat Modeling, Identity and Access Management, Firewall

      4.7
      Rating, 4.7 out of 5 stars
      ·
      13 reviews

      Intermediate · Course · 1 - 3 Months

    • N

      Northeastern University

      Ethics and Governance in the Age of Generative AI

      Skills you'll gain: Generative AI, Data Ethics, Data Governance, Governance, Artificial Intelligence, Machine Learning, Large Language Modeling, MLOps (Machine Learning Operations), Ethical Standards And Conduct, Emerging Technologies

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Data Manipulation with dplyr in R

      Skills you'll gain: Data Manipulation, Tidyverse (R Package), Data Wrangling, R Programming, Exploratory Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      21 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      A

      Automatic Data Processing, Inc. (ADP)

      Benefits: Health, Wellness, Work & Lifestyle

      Skills you'll gain: Benefits Administration, Compensation and Benefits, Human Resource Policies, Human Resources, Communication Planning, Health Care, Program Evaluation, Employee Engagement, Diversity and Inclusion, Dental Care

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      User Awareness and Education for Generative AI

      Skills you'll gain: Data Ethics, Generative AI, Artificial Intelligence, Ethical Standards And Conduct, AI Personalization, Business Ethics, ChatGPT, End User Training and Support, User Feedback, Education and Training, Information Privacy, Intellectual Property

      4.5
      Rating, 4.5 out of 5 stars
      ·
      22 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Geneva

      Migration, Health and Equity in Europe

      Skills you'll gain: Health Policy, Health Disparities, Health Equity, Healthcare Ethics, Public Health, Health Care, Research, Health Systems, Research Methodologies, Epidemiology, Immigration Law, Cultural Responsiveness

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Overview of JUnit Testing

      Skills you'll gain: JUnit, Unit Testing, Test Case, Eclipse (Software), Test Data, Test Automation, Test Execution Engine, Integrated Development Environments, Java

      3.8
      Rating, 3.8 out of 5 stars
      ·
      53 reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      IBM

      데이터 과학이란 무엇인가?

      Skills you'll gain: Data Storytelling, Data Mining, Data Science, Data-Driven Decision-Making, Digital Transformation, Big Data, Data Analysis, Business Analytics, Regression Analysis, Analytics, Apache Hadoop, Health Informatics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      21 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • GenAI for Sales Analytics: Coursera Instructor Network
    • Intro to Improving the Patient Experience Through Analytics: Northeastern University
    • Beauty, Form & Function: An Exploration of Symmetry: Nanyang Technological University, Singapore
    • Threat Response: Cisco Learning and Certifications
    • Secure Your Data at Rest: Microsoft
    • Ethics and Governance in the Age of Generative AI: Northeastern University
    • Data Manipulation with dplyr in R: Coursera Project Network
    • Benefits: Health, Wellness, Work & Lifestyle: Automatic Data Processing, Inc. (ADP)
    • User Awareness and Education for Generative AI : Coursera Instructor Network
    • Migration, Health and Equity in Europe: University of Geneva

    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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