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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
      C

      Coursera Project Network

      Analyzing Product Opportunities with Creately

      Skills you'll gain: Market Opportunities, New Product Development, Product Strategy, Competitive Analysis, Business Strategy, New Business Development, Market Analysis, Business Analysis, Product Development, Business Planning, Entrepreneurship

      4.6
      Rating, 4.6 out of 5 stars
      ·
      41 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • G

      Google Cloud

      Google Drive: Getting Started

      Skills you'll gain: File Management, Cloud Storage, Collaborative Software, Google Workspace, Document Management, Data Sharing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      15 reviews

      Beginner · Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Project Network

      Project Management: How to Create a Gantt Chart in Wrike

      Skills you'll gain: Timelines, Organizational Skills, Scheduling, Project Coordination, Milestones (Project Management), Project Management Software, Project Management, Delegation Skills, Data Visualization, Dependency Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      37 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Project Network

      Learn to Job Search with Indeed

      Skills you'll gain: Job Analysis, Compensation Analysis, Company, Product, and Service Knowledge, Recruitment, Business Research

      4.6
      Rating, 4.6 out of 5 stars
      ·
      31 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Supervised Text Classification for Marketing Analytics

      Skills you'll gain: Supervised Learning, Marketing Analytics, Machine Learning, Deep Learning, Machine Learning Algorithms, Tensorflow, Scikit Learn (Machine Learning Library), Python Programming, Marketing, Natural Language Processing, Google Cloud Platform, Artificial Neural Networks, Text Mining, Performance Metric

      Build toward a degree

      3.1
      Rating, 3.1 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 4 Weeks

    • M

      MathWorks

      Data Science Companion

      Skills you'll gain: Data Science, Data Processing, Applied Machine Learning, Machine Learning, Supervised Learning, Geographic Information Systems, Big Data, Data Visualization, Data Analysis, Data Integration, Amazon Web Services, Cloud Computing, Matlab, Predictive Modeling, Classification And Regression Tree (CART), Regression Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      13 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Advanced Malware and Network Anomaly Detection

      Skills you'll gain: Anomaly Detection, Intrusion Detection and Prevention, Malware Protection, Continuous Monitoring, Threat Detection, Network Analysis, Cybersecurity, System Design and Implementation, Network Security, Machine Learning Software, Machine Learning Methods, Performance Testing, Machine Learning Algorithms, Machine Learning, Supervised Learning, Microsoft Windows

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Applying Participatory Approaches in Public Health Settings

      Skills you'll gain: Public Health, Health Equity, Community Health, Diversity Awareness, Health Policy, Patient Education and Support, Community Outreach, Program Evaluation, Qualitative Research, Research Methodologies, Data Collection

      4.3
      Rating, 4.3 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Using Sensors With Your Raspberry Pi

      Skills you'll gain: Data Processing, Technical Design, Data Science, Embedded Software, Data Cleansing, Data Analysis Software, Statistical Methods, Analytical Skills, Real Time Data, Data Quality

      4.8
      Rating, 4.8 out of 5 stars
      ·
      9 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      American Psychological Association

      Basic Inferential Statistics for Psychology

      Skills you'll gain: Sample Size Determination, Statistical Hypothesis Testing, Probability & Statistics, Statistical Methods, Probability Distribution, Quantitative Research, Statistical Analysis, Statistical Software, Statistical Inference, Sampling (Statistics), Data Analysis, Statistics, Analytical Skills, Data Literacy, Psychology, Research Design, Research

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Manage Security Operations

      Skills you'll gain: Microsoft Azure, Threat Modeling, Cloud Security, Continuous Monitoring, System Monitoring, Security Information and Event Management (SIEM), Security Management, Threat Detection, Threat Management, Application Performance Management, Event Monitoring, Incident Response, Query Languages, Interactive Data Visualization

      4.6
      Rating, 4.6 out of 5 stars
      ·
      12 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Copenhagen Business School

      Art and the Digital Transformation

      Skills you'll gain: Socioeconomics, Liberal Arts, Digital Transformation, Advocacy, Community Development, Policy Development, Innovation, Creativity, Data Ethics, Technology Strategies, Cultural Diversity, Diversity Equity and Inclusion Initiatives, Emerging Technologies

      Beginner · Course · 1 - 3 Months

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

    • Analyzing Product Opportunities with Creately: Coursera Project Network
    • Google Drive: Getting Started: Google Cloud
    • Project Management: How to Create a Gantt Chart in Wrike: Coursera Project Network
    • Learn to Job Search with Indeed: Coursera Project Network
    • Supervised Text Classification for Marketing Analytics: University of Colorado Boulder
    • Data Science Companion: MathWorks
    • Advanced Malware and Network Anomaly Detection: Johns Hopkins University
    • Applying Participatory Approaches in Public Health Settings: Imperial College London
    • Using Sensors With Your Raspberry Pi: Johns Hopkins University
    • Basic Inferential Statistics for Psychology: American Psychological Association

    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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