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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
      L

      LearnQuest

      DevOps and Build Automation with Python

      Skills you'll gain: Containerization, Package and Software Management, Software Testing, Docker (Software), Unit Testing, Scripting, Development Testing, CI/CD, Test Automation, Integration Testing, DevOps, Python Programming, Web Scraping

      3.9
      Rating, 3.9 out of 5 stars
      ·
      59 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Visualizing Data with Google Data Studio

      Skills you'll gain: Data Visualization Software, Dashboard, Interactive Data Visualization, SQL Server Reporting Services, Big Data

      4.3
      Rating, 4.3 out of 5 stars
      ·
      16 reviews

      Intermediate · Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Project Network

      Getting started with Azure IOT Hub

      Skills you'll gain: Microsoft Azure, Data Visualization, Microsoft Excel, Internet Of Things, Cloud Storage, Data Storage Technologies, Data Analysis Software, Data Import/Export, Data Pipelines

      4.5
      Rating, 4.5 out of 5 stars
      ·
      76 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      Universidad Austral

      Finanzas para emprendedores

      Skills you'll gain: Financial Analysis, Financial Statements, Entrepreneurial Finance, Balance Sheet, Gross Profit, Financial Data, Finance, Profit and Loss (P&L) Management, Financial Accounting, Income Statement, Accounting, Business Metrics, Business Valuation, Corporate Finance, Return On Investment, Cost Benefit Analysis, Cash Management, Working Capital

      4.8
      Rating, 4.8 out of 5 stars
      ·
      17 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Arizona

      Knowing the Universe: History and Philosophy of Astronomy

      Skills you'll gain: Ancient History, Physics, General Science and Research, Mechanics, Physical Science, European History, Science and Research, World History, Scientific Methods, Biology, Mathematical Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      37 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      D

      DeepLearning.AI

      Understanding and Applying Text Embeddings

      Skills you'll gain: Large Language Modeling, Anomaly Detection, Google Cloud Platform, Text Mining, Applied Machine Learning, Natural Language Processing, Semantic Web, Unsupervised Learning, Unstructured Data

      4.8
      Rating, 4.8 out of 5 stars
      ·
      63 reviews

      Beginner · Project · Less Than 2 Hours

    • É

      École Polytechnique Fédérale de Lausanne

      Big Data Analysis with Scala and Spark (Scala 2 version)

      Skills you'll gain: Apache Spark, Scala Programming, Apache Hadoop, Big Data, Data Manipulation, Distributed Computing, Data Processing, Performance Tuning, Programming Principles

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      Q

      Queen Mary University of London

      Analysis and Interpretation of Data

      Skills you'll gain: Data Analysis, Statistical Analysis, Correlation Analysis, Quantitative Research, Regression Analysis, Content Performance Analysis, Marketing Analytics, Probability & Statistics, Trend Analysis, Data Cleansing, Digital Marketing, Exploratory Data Analysis, Market Research, Return On Investment

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Big Data Processing Using Hadoop

      Skills you'll gain: Apache Hadoop, Big Data, Apache Hive, Apache Spark, NoSQL, File Systems, Data Processing, Data Management, Analytics, Data Science, SQL, Query Languages, Data Manipulation, Java, Data Structures, Distributed Computing, Scripting Languages, Data Transformation, Performance Tuning, Software Architecture

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Healthcare Data Models

      Skills you'll gain: Data Integration, Data Validation, Data Quality, Data Modeling, Health Informatics, Data Transformation, Star Schema, Data Warehousing, Health Information Management, Data Analysis, Network Model, Analytics, Interoperability, Relational Databases

      4.6
      Rating, 4.6 out of 5 stars
      ·
      55 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Visualization Capstone

      Skills you'll gain: Data Visualization, Data Visualization Software, Data Literacy, Storyboarding, Statistical Visualization, Data Storytelling, Data Manipulation, Ggplot2, Statistical Reporting, Data Wrangling, Data Analysis, Data Cleansing, R Programming, Tidyverse (R Package), Data Transformation, Data Import/Export, Rmarkdown, Graphing

      5
      Rating, 5 out of 5 stars
      ·
      33 reviews

      Mixed · Course · 1 - 4 Weeks

    • E

      EC-Council

      Secure Full Stack MEAN Developer

      Skills you'll gain: Node.JS, MongoDB, Angular, Full-Stack Web Development, JavaScript Frameworks, Restful API, Web Applications, Web Development, NoSQL, Front-End Web Development, Application Security, Web Development Tools, Web Servers, Application Programming Interface (API), Javascript, Back-End Web Development

      4.6
      Rating, 4.6 out of 5 stars
      ·
      88 reviews

      Beginner · Course · 1 - 3 Months

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

    • DevOps and Build Automation with Python: LearnQuest
    • Visualizing Data with Google Data Studio: Google Cloud
    • Getting started with Azure IOT Hub: Coursera Project Network
    • Finanzas para emprendedores: Universidad Austral
    • Knowing the Universe: History and Philosophy of Astronomy: University of Arizona
    • Understanding and Applying Text Embeddings: DeepLearning.AI
    • Big Data Analysis with Scala and Spark (Scala 2 version): École Polytechnique Fédérale de Lausanne
    • Analysis and Interpretation of Data: Queen Mary University of London
    • Big Data Processing Using Hadoop: Johns Hopkins University
    • Healthcare Data Models: University of California, Davis

    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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