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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

    • U

      University of Pennsylvania

      English for Science, Technology, Engineering, and Mathematics

      Skills you'll gain: Research, Vocabulary, Literacy, English Language, Language Learning, Scientific Methods, Environmental Science, Grammar, Emerging Technologies, Innovation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.8K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Meta

      Meta Web Development Fundamentals

      Skills you'll gain: Django (Web Framework), Responsive Web Design, HTML and CSS, Relational Databases, Object Oriented Programming (OOP), Database Management Systems, Bootstrap (Front-End Framework), SQL, Database Design, Databases, Front-End Web Development, Unit Testing, MySQL, Debugging, User Interface (UI), Web Development, Web Servers, Test Driven Development (TDD), Web Applications, Programming Principles

      4.7
      Rating, 4.7 out of 5 stars
      ·
      16K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Advanced Learning Algorithms

      Skills you'll gain: Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Tensorflow, Artificial Intelligence, Supervised Learning, Deep Learning, Random Forest Algorithm, Artificial Neural Networks, Performance Tuning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7.9K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      The Power of Statistics

      Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Descriptive Statistics, Data Analysis, Statistical Analysis, Probability Distribution, Statistical Methods, Advanced Analytics, Analytics, Statistics, Data Literacy, Statistical Inference, Probability, Statistical Software, Statistical Programming, A/B Testing, Sample Size Determination, Jupyter, Technical Communication

      4.8
      Rating, 4.8 out of 5 stars
      ·
      788 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Preparing for Google Cloud Certification: Cloud Developer

      Skills you'll gain: Containerization, Cloud Applications, Google Cloud Platform, Cloud Infrastructure, Application Deployment, Docker (Software), Kubernetes, Application Development, CI/CD, Cloud Development, Microservices, Authentications, Serverless Computing, Identity and Access Management, Cloud Storage, Cloud Services, Virtual Machines, Generative AI, Cloud API, Prompt Engineering

      4.7
      Rating, 4.7 out of 5 stars
      ·
      49K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Preparing for Google Cloud Certification: Cloud Network Engineer

      Skills you'll gain: Application Performance Management, Distributed Denial-Of-Service (DDoS) Attacks, Google Cloud Platform, Cloud Infrastructure, Load Balancing, System Monitoring, Prompt Engineering, Kubernetes, Network Performance Management, Network Monitoring, Cloud Computing Architecture, Containerization, Network Architecture, Network Security, Cloud Storage, Cloud Services, Identity and Access Management, Network Routing, Virtual Private Networks (VPN), Network Troubleshooting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      49K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Security in Google Cloud

      Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Identity and Access Management, Data Loss Prevention, Distributed Denial-Of-Service (DDoS) Attacks, Prompt Engineering, Kubernetes, Cloud Security, Containerization, OAuth, Cloud Storage, Cloud Services, Application Deployment, Virtual Machines, Security Controls, Cloud Computing, Application Development, Data Storage Technologies, Threat Management, Virtual Private Networks (VPN)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      49K reviews

      Intermediate · Specialization · 3 - 6 Months

    • K

      Knowledge Accelerators

      From Excel to Power BI

      Skills you'll gain: Power BI, Dashboard, Data Presentation, Interactive Data Visualization, Data Analysis Expressions (DAX), Data Import/Export, Microsoft Excel, Data Visualization Software, Business Intelligence, Data Modeling, Data-Driven Decision-Making, Data Sharing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Macquarie University

      Excel Skills for Business: Essentials

      Skills you'll gain: Data Visualization, Microsoft Excel, Data Entry, Spreadsheet Software, Excel Formulas, Productivity Software, Data Management

      4.9
      Rating, 4.9 out of 5 stars
      ·
      50K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Python Data Analytics

      Skills you'll gain: Pandas (Python Package), Data Analysis, Exploratory Data Analysis, Data Modeling, Data Manipulation, Jupyter, Data Processing, Matplotlib, Programming Principles, Data Cleansing, Data Visualization Software, Python Programming, Scripting

      4.3
      Rating, 4.3 out of 5 stars
      ·
      199 reviews

      Beginner · Course · 1 - 3 Months

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      Chemical Engineering Thermodynamics 1

      Skills you'll gain: Energy and Utilities, Chemical Engineering, Chemistry, Engineering, Process Engineering, Mechanical Engineering, Environmental Issue, Physics, Physical Science, Process Analysis, Mathematical Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      57 reviews

      Beginner · Course · 1 - 3 Months

    • D

      Duke University

      Introduction to Chemistry: Reactions and Ratios

      Skills you'll gain: Scientific Methods, Chemistry, Laboratory Research, General Science and Research, Systems Of Measurement, Physics, Algebra, Engineering Calculations

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Beginner · Course · 1 - 3 Months

    Searches related to data engineering

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    1…242526…741

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

    • English for Science, Technology, Engineering, and Mathematics: University of Pennsylvania
    • Meta Web Development Fundamentals: Meta
    • Advanced Learning Algorithms: DeepLearning.AI
    • The Power of Statistics: Google
    • Preparing for Google Cloud Certification: Cloud Developer: Google Cloud
    • Preparing for Google Cloud Certification: Cloud Network Engineer: Google Cloud
    • Security in Google Cloud: Google Cloud
    • From Excel to Power BI: Knowledge Accelerators
    • Excel Skills for Business: Essentials: Macquarie University
    • Python Data Analytics: Meta

    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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