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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
      Status: AI skills
      AI skills
      I

      IBM

      IBM Data Science

      Skills you'll gain: Dashboard, Data Visualization Software, Data Wrangling, Data Visualization, SQL, Supervised Learning, Feature Engineering, Plotly, Interactive Data Visualization, Jupyter, Data Literacy, Exploratory Data Analysis, Data Mining, Data Cleansing, Matplotlib, Data Analysis, Unsupervised Learning, Generative AI, Pandas (Python Package), Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      143K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Google Advanced Data Analytics

      Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Statistical Hypothesis Testing, Data Ethics, Data Visualization Software, Sampling (Statistics), Data Presentation, Regression Analysis, Feature Engineering, Data Transformation, Descriptive Statistics, Professional Networking, Data Visualization, Tableau Software, Data Manipulation, Statistical Analysis, Statistical Machine Learning, Object Oriented Programming (OOP), Data Analysis, Interviewing Skills

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.2K reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Google Cloud Database Engineer

      Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Application Deployment, Prompt Engineering, Kubernetes, Containerization, Database Architecture and Administration, MySQL, Cloud Computing Architecture, PostgreSQL, Identity and Access Management, Cloud Storage, Data Migration, Cloud Services, Database Administration, Cloud Management, Virtual Machines, Cloud Security, Cloud Applications, Operational Databases

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

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Spark, Hadoop, and Snowflake for Data Engineering

      Skills you'll gain: PySpark, Snowflake Schema, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, DevOps, Data Transformation, SQL

      3.8
      Rating, 3.8 out of 5 stars
      ·
      51 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      IBM Data Architecture

      Skills you'll gain: NoSQL, Data Warehousing, SQL, Apache Hadoop, Extract, Transform, Load, Apache Airflow, Data Security, Linux Commands, Data Migration, Database Design, Data Governance, MySQL, Apache Spark, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Database Architecture and Administration, Data Store

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.6K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Advanced Data Engineering

      Skills you'll gain: Performance Analysis, Apache Airflow, Workflow Management, Performance Tuning, Scalability, Dataflow, Data Infrastructure, Database Management, Database Systems, Data Pipelines, Data Warehousing, Data Architecture, Operational Databases, Real Time Data, MySQL, Data Transformation, Middleware

      4.3
      Rating, 4.3 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Python and Pandas for Data Engineering

      Skills you'll gain: Pandas (Python Package), Version Control, Git (Version Control System), Data Manipulation, Software Development Tools, Development Environment, Data Structures, Python Programming, Data Analysis Software, NumPy, Data Import/Export, Integrated Development Environments, Virtual Environment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      242 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      M

      Microsoft

      Microsoft Power BI Data Analyst

      Skills you'll gain: Data Storytelling, Dashboard, Excel Formulas, Extract, Transform, Load, Power BI, Data Analysis Expressions (DAX), Microsoft Excel, Microsoft Copilot, Data Modeling, Data-Driven Decision-Making, Star Schema, Data Analysis, Data Presentation, Data Visualization Software, Spreadsheet Software, Data Validation, Interactive Data Visualization, Data Transformation, Data Cleansing, Data Storage

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.3K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Data Structures and Algorithms

      Skills you'll gain: Data Structures, Graph Theory, Algorithms, Network Routing, Program Development, Debugging, Network Model, Bioinformatics, Operations Research, Data Storage, Development Testing, Test Engineering, Software Testing, Theoretical Computer Science, Computational Thinking, Network Analysis, Test Case, Programming Principles, Computer Programming, Epidemiology

      4.6
      Rating, 4.6 out of 5 stars
      ·
      17K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Prompt Engineering

      Skills you'll gain: Prompt Engineering, ChatGPT, Ideation, Verification And Validation, Data Validation, Data Presentation, Productivity, Document Management, Generative AI, Artificial Intelligence, Large Language Modeling, Risk Management Framework, Microsoft Excel, Creative Thinking, Ingenuity, Brainstorming, Problem Solving, Data Ethics, Data Analysis, Information Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.6K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Developer

      Skills you'll gain: Prompt Engineering, HTML and CSS, Software Development Life Cycle, Software Architecture, Large Language Modeling, Unit Testing, Generative AI, Artificial Intelligence, Software Design, ChatGPT, Jupyter, Scrum (Software Development), Software Engineering, Agile Methodology, Bootstrap (Front-End Framework), Web Design, Application Deployment, Automation, Interviewing Skills, Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      69K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Engineering Capstone Project

      Skills you'll gain: Apache Spark, Data Warehousing, Extract, Transform, Load, IBM DB2, IBM Cognos Analytics, Big Data, Databases, PostgreSQL, Data Infrastructure, Data Architecture, Data Pipelines, Applied Machine Learning, MongoDB, MySQL, Data Analysis, Dashboard, Predictive Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      123 reviews

      Advanced · Course · 1 - 3 Months

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    1234…737

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

    • IBM Data Science: IBM
    • Google Advanced Data Analytics: Google
    • Google Cloud Database Engineer: Google Cloud
    • Spark, Hadoop, and Snowflake for Data Engineering: Duke University
    • IBM Data Architecture: IBM
    • Advanced Data Engineering: Duke University
    • Python and Pandas for Data Engineering: Duke University
    • Microsoft Power BI Data Analyst: Microsoft
    • Data Structures and Algorithms: University of California San Diego
    • Prompt Engineering: Vanderbilt University

    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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