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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 Illinois at Urbana-Champaign

      Graduate Certificate in Accounting Data Analytics

      Skills you'll gain: Data Storytelling, Management Accounting, Fund Accounting, Operations Management, Mergers & Acquisitions, Financial Statement Analysis, Marketing, Risk Management, Machine Learning Algorithms, Business Strategy, Financial Auditing, Descriptive Statistics, Variance Analysis, Process Improvement, Marketing Analytics, Generative AI, Financial Market, Strategic Decision-Making, Corporate Tax, Global Marketing

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • B

      BITS Pilani

      Bachelor of Science in Computer Science

      Skills you'll gain: Relational Databases, User Research, Probability & Statistics, Data Storytelling, Bash (Scripting Language), Graph Theory, Object Oriented Design, Android Development, Operating Systems, Database Design, Bioinformatics, Feature Engineering, User Interface (UI) Design, Threat Modeling, Algorithms, Version Control, Java Programming, Data Structures, Model View Controller, Computational Logic

      Earn a degree

      Degree · 1 - 4 Years

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Exploratory Data Analysis and Visualization

      Skills you'll gain:

      Beginner · Course

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Advanced Data Applications and Integration

      Skills you'll gain:

      Beginner · Course

    • Status: New
      New
      G

      Google Cloud

      데이터 분석가를 위한 BigQuery

      Skills you'll gain: Looker (Software), SQL, Business Intelligence, Data Cleansing, Big Data, Data Manipulation, Data Pipelines, Data Analysis, Data Visualization Software, Data Transformation, Google Sheets, Extract, Transform, Load, Data Processing, Data Integration, Data Storage Technologies, Data Import/Export

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      U

      Universidad de los Andes

      Fundamentos del uso de IA generativa

      Skills you'll gain: Prompt Engineering, Generative AI, Large Language Modeling, ChatGPT, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Creativity, Ethical Standards And Conduct, Content Creation

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      U

      Universidad de Palermo

      Business Intelligence & Analytics

      Skills you'll gain: Business Intelligence, Data Governance, Data Storytelling, Data Management, Business Analytics, Looker (Software), Performance Measurement, Data Visualization, Key Performance Indicators (KPIs), Business Metrics, Data Modeling, Data Warehousing, General Data Protection Regulation (GDPR), Digital Transformation, Star Schema, Data Quality, Talent Management, Team Building, Data-Driven Decision-Making, Cloud Computing

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Illinois at Urbana-Champaign

      Graduate Certificate in Digital Marketing

      Skills you'll gain: Data Storytelling, Management Accounting, Fund Accounting, Operations Management, Mergers & Acquisitions, Financial Statement Analysis, Marketing, Risk Management, Machine Learning Algorithms, Business Strategy, Financial Auditing, Descriptive Statistics, Variance Analysis, Process Improvement, Marketing Analytics, Generative AI, Financial Market, Strategic Decision-Making, Corporate Tax, Global Marketing

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • Status: New
      New
      J

      Johns Hopkins University

      Honors Algebra 2: Linear and Quadratic Functions

      Skills you'll gain: Algebra, Graphing, Advanced Mathematics, Logical Reasoning, General Mathematics, Applied Mathematics, Mathematical Modeling, Visualization (Computer Graphics), Regression Analysis

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Menggunakan BigQuery Machine Learning untuk Inferensi

      Skills you'll gain: Big Data, Applied Machine Learning, Google Cloud Platform, Data Analysis, Machine Learning, Machine Learning Algorithms

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft R Programming for Everyone

      Skills you'll gain:

      Beginner · Professional Certificate · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      在 Google Cloud 上使用生成式 AI 进行网站现代化改造

      Skills you'll gain: Generative AI, AI Personalization, Web Content, Web Analytics and SEO, Prompt Engineering, Performance Tuning, Image Analysis, Google Cloud Platform, User Experience Design

      Beginner · Course · 1 - 4 Weeks

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

    • Graduate Certificate in Accounting Data Analytics: University of Illinois at Urbana-Champaign
    • Bachelor of Science in Computer Science: BITS Pilani
    • Exploratory Data Analysis and Visualization: Microsoft
    • Advanced Data Applications and Integration: Microsoft
    • 데이터 분석가를 위한 BigQuery: Google Cloud
    • Fundamentos del uso de IA generativa: Universidad de los Andes
    • Business Intelligence & Analytics: Universidad de Palermo
    • Graduate Certificate in Digital Marketing: University of Illinois at Urbana-Champaign
    • Honors Algebra 2: Linear and Quadratic Functions: Johns Hopkins University
    • Menggunakan BigQuery Machine Learning untuk Inferensi: Google Cloud

    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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