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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 California, Santa Cruz

      Bayesian Statistics: Capstone Project

      Skills you'll gain: Bayesian Statistics, Technical Communication, R Programming, Statistical Analysis, Statistical Modeling, Data Analysis, Advanced Analytics, Time Series Analysis and Forecasting, Markov Model, Statistical Methods, Predictive Modeling, Sampling (Statistics), Probability Distribution

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      EDUCBA

      Splunk Query Language and Data Analysis

      Skills you'll gain: Splunk, Dashboard, Data Transformation, Data Manipulation, Data Analysis, Statistical Analysis, Query Languages, Data Visualization Software, Ad Hoc Reporting, Real Time Data, Data Modeling, Continuous Monitoring, Taxonomy

      4.9
      Rating, 4.9 out of 5 stars
      ·
      118 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Abstraction, Problem Decomposition, and Functions

      Skills you'll gain: Computational Thinking, C (Programming Language), Data Structures, Programming Principles, Computer Programming, Problem Management, Program Development, Data Storage

      4.6
      Rating, 4.6 out of 5 stars
      ·
      37 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Google Sheets en Español

      Skills you'll gain: Google Sheets, Google Workspace, Spreadsheet Software, Excel Formulas, Data Visualization, Version Control, Collaborative Software, Data Import/Export, Data Management, Data Sharing, Data Security

      4.8
      Rating, 4.8 out of 5 stars
      ·
      66 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Introduction to Computer Vision

      Skills you'll gain: Image Analysis, Computer Vision, Computer Graphics, Deep Learning, Data Ethics, Computational Thinking, Artificial Intelligence, Data Processing, Linear Algebra, Probability Distribution

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    • V

      Vanderbilt University

      Qualitative Methods for Quantitative People (with GenAI)

      Skills you'll gain: Large Language Modeling, Decision Making, Team Management, Resource Allocation, Generative AI, Qualitative Research, Prompt Engineering, Analysis, Communication, Data Ethics, Quantitative Research, Data-Driven Decision-Making, Unstructured Data, Data Synthesis, Artificial Intelligence

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      Mastering KiCAD: Open-Source PCB Design for Beginners

      Skills you'll gain: Electronics, Electronics Engineering, Electronic Hardware, Electrical Engineering, Schematic Diagrams, Electronic Components, Computer-Aided Design, Design Software, Engineering Documentation, Design Specifications, Open Source Technology

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Industrial Applications of AI

      Skills you'll gain: Machine Learning Algorithms, Computer Vision, Image Analysis, Applied Machine Learning, Machine Learning, Artificial Intelligence, Civil Engineering, Tensorflow, Automation, Computer Engineering, Engineering Software, Deep Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Electrical Engineering, Mechanical Engineering, Predictive Modeling, Data Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Analyze User Research Data with Microsoft Forms

      Skills you'll gain: User Research, User Feedback, Business Research, Data Collection, Market Research, Data Compilation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      45 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • B

      Board Infinity

      Data Visualization with Tableau

      Skills you'll gain: Data Storytelling, Data Presentation, Dashboard, Data Visualization Software, Interactive Data Visualization, Tableau Software, Data Transformation, Exploratory Data Analysis, Scatter Plots, Heat Maps, Histogram, Data Manipulation, Data Import/Export

      3.7
      Rating, 3.7 out of 5 stars
      ·
      13 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      F

      Fundação Instituto de Administração

      Fundamentos de Inteligência Artificial para Finanças

      Skills you'll gain: Deep Learning, Predictive Analytics, FinTech, Data-Driven Decision-Making, Machine Learning, Digital Transformation, Analytics, Artificial Intelligence, Artificial Neural Networks, Business Transformation, Finance, Accounting, Financial Services, Data Science

      4.6
      Rating, 4.6 out of 5 stars
      ·
      20 reviews

      Beginner · Course · 1 - 4 Weeks

    • E

      Edureka

      Introduction to PySpark

      Skills you'll gain: PySpark, Apache Spark, Distributed Computing, Big Data, Apache Hadoop, Data Processing, Data Manipulation, Exploratory Data Analysis, Python Programming

      3.7
      Rating, 3.7 out of 5 stars
      ·
      35 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Bayesian Statistics: Capstone Project: University of California, Santa Cruz
    • Splunk Query Language and Data Analysis: EDUCBA
    • Abstraction, Problem Decomposition, and Functions: University of Colorado System
    • Google Sheets en Español: Google Cloud
    • Introduction to Computer Vision: University of Colorado Boulder
    • Qualitative Methods for Quantitative People (with GenAI): Vanderbilt University
    • Mastering KiCAD: Open-Source PCB Design for Beginners: Coursera Instructor Network
    • Industrial Applications of AI: L&T EduTech
    • Analyze User Research Data with Microsoft Forms: Coursera Project Network
    • Data Visualization with Tableau: Board Infinity

    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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