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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 Michigan

      Understanding Data: Navigating Statistics, Science, and AI

      Skills you'll gain: Histogram, Generative AI, Data Literacy, Data Visualization, Data Presentation, Data Collection, Statistical Hypothesis Testing, Scientific Methods, Descriptive Statistics, Statistics, Data Analysis, Data Ethics, Experimentation, Data-Driven Decision-Making, Research Design, Statistical Visualization, Research, Artificial Intelligence, Probability & Statistics, Statistical Reporting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      30 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Infosec

      OWASP Top 10 - Welcome and Risks 1-5

      Skills you'll gain: Open Web Application Security Project (OWASP), Vulnerability Assessments, Application Security, Secure Coding, Security Controls, Cybersecurity, Authorization (Computing), Cryptography, System Configuration, Encryption, Software Design, SQL

      4.5
      Rating, 4.5 out of 5 stars
      ·
      69 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      B

      Board Infinity

      Mastering Test Management and Tools

      Skills you'll gain: Test Tools, Test Planning, Configuration Management, Test Automation, Software Testing, Test Case, Test Data, Performance Testing, Issue Tracking, Risk Management Framework, Version Control

      4.6
      Rating, 4.6 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Approximation Methods

      Skills you'll gain: Estimation, Engineering Calculations, Applied Mathematics, Mathematical Modeling, Engineering Analysis, Differential Equations, Physics

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Welding Processes in Heavy Manufacturing & Quality Controls

      Skills you'll gain: Manufacturing Processes, Automation, Internet Of Things, Manufacturing Standards, Quality Assurance, Manufacturing Operations, Production Process, Construction Inspection, Process Control, Emerging Technologies

      4.3
      Rating, 4.3 out of 5 stars
      ·
      13 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Machine Learning with TensorFlow on Google Cloud en Français

      Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Tensorflow, Data Analysis, Keras (Neural Network Library), Google Cloud Platform, Applied Machine Learning, Data Quality, Data Cleansing, Data Strategy, Supervised Learning, Machine Learning, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), Dataflow, Deep Learning, Machine Learning Algorithms, Data Processing, Artificial Neural Networks

      4.2
      Rating, 4.2 out of 5 stars
      ·
      30 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Illinois Urbana-Champaign

      Customer Insights: Quantitative Techniques

      Skills you'll gain: New Product Development, Product Development, Design Thinking, Market Research, Quantitative Research, Product Management, Customer Insights, Consumer Behaviour, Market Analysis, Target Market, Forecasting, Innovation, Needs Assessment, Analysis, Data Collection, Technology Solutions

      3.7
      Rating, 3.7 out of 5 stars
      ·
      32 reviews

      Mixed · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Robot Localization with Python and Particle Filters

      Skills you'll gain: Spatial Data Analysis, Artificial Intelligence, Data Manipulation, Simulations, NumPy, Computer Vision

      4.5
      Rating, 4.5 out of 5 stars
      ·
      24 reviews

      Advanced · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Understanding Smart Objects in Adobe Photoshop

      Skills you'll gain: Adobe Photoshop, Photo Editing, Adobe Creative Cloud, Data Import/Export, Editing, File Management

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      Universidad de los Andes

      Introducción al deep learning contemporáneo

      Skills you'll gain: Generative AI, Deep Learning, Image Analysis, Artificial Neural Networks, PyTorch (Machine Learning Library), Machine Learning Methods, Tensorflow, Computer Vision, Natural Language Processing, Time Series Analysis and Forecasting

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Politecnico di Milano

      Introduzione alla fisica sperimentale: elettromagnetismo, ottica, fisica moderna

      Skills you'll gain: Physics, Laboratory Experience, Electrical Systems, Experimentation, Basic Electrical Systems, Scientific Methods, Science and Research, Physical Science, Mechanics, Electronics Engineering, Mathematical Modeling, Applied Mathematics, Integral Calculus

      4.7
      Rating, 4.7 out of 5 stars
      ·
      35 reviews

      Beginner · Course · 1 - 4 Weeks

    • É

      École Polytechnique Fédérale de Lausanne

      Thermodynamique : applications

      Skills you'll gain: Chemical Engineering, Mechanical Engineering, Thermal Management, Engineering, Chemical and Biomedical Engineering, Physics, Energy and Utilities, Electrical Power, Process Engineering, Differential Equations, Applied Mathematics, Engineering Analysis, Calculus, Engineering Calculations, Mathematical Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Mixed · Course · 1 - 3 Months

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

    • Understanding Data: Navigating Statistics, Science, and AI: University of Michigan
    • OWASP Top 10 - Welcome and Risks 1-5: Infosec
    • Mastering Test Management and Tools: Board Infinity
    • Approximation Methods: University of Colorado Boulder
    • Welding Processes in Heavy Manufacturing & Quality Controls: L&T EduTech
    • Machine Learning with TensorFlow on Google Cloud en Français: Google Cloud
    • Customer Insights: Quantitative Techniques: University of Illinois Urbana-Champaign
    • Robot Localization with Python and Particle Filters: Coursera Project Network
    • Understanding Smart Objects in Adobe Photoshop: Coursera Project Network
    • Introducción al deep learning contemporáneo: Universidad de los Andes

    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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