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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 Michigan

      Linear Regression Modeling for Health Data

      Skills you'll gain: Statistical Modeling, Regression Analysis, Statistical Methods, Statistical Inference, Probability & Statistics, Correlation Analysis, Data Analysis, Statistical Analysis, Statistical Hypothesis Testing, Predictive Modeling

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Codio

      Software Testing for Developers

      Skills you'll gain: Jest (JavaScript Testing Framework), User Acceptance Testing (UAT), Cucumber (Software), Postman API Platform, Software Testing, Behavior-Driven Development, Test Tools, Selenium (Software), Test Driven Development (TDD), Unit Testing, Acceptance Testing, Performance Testing, Functional Testing, Test Automation, Usability Testing, Application Programming Interface (API), User Interface (UI), Test Case, API Design

      4.2
      Rating, 4.2 out of 5 stars
      ·
      15 reviews

      Beginner · Course · 1 - 4 Weeks

    • N

      Nanjing University

      软件测试 (Software Testing)

      Skills you'll gain: Software Testing, Functional Testing, System Testing, Performance Testing, Debugging, Unit Testing, Test Automation, Test Case, Integration Testing, Selenium (Software), Mobile Development

      4.4
      Rating, 4.4 out of 5 stars
      ·
      34 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Corporate Finance Institute

      Economics for Capital Markets

      Skills you'll gain: Financial Trading, Financial Market, Market Data, Economics, Capital Markets, Market Dynamics, Financial Policy, Market Trend, Banking, Investment Management, Forecasting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      D

      DeepLearning.AI

      Building Agentic RAG with LlamaIndex

      Skills you'll gain: Generative AI Agents, Agentic systems, Generative AI, Debugging, Artificial Intelligence, Prompt Engineering, Large Language Modeling, Document Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      52 reviews

      Beginner · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      C

      Codio

      Advanced Django: Introduction to Django Rest Framework

      Skills you'll gain: Django (Web Framework), Postman API Platform, Restful API, Data Validation, Authentications, Authorization (Computing), Application Programming Interface (API), API Design, JSON, Object-Relational Mapping, Model View Controller

      4.6
      Rating, 4.6 out of 5 stars
      ·
      49 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      Universidades Anáhuac

      Finanzas y Contabilidad para la Toma de Decisiones

      Skills you'll gain: Financial Statement Analysis, Financial Reporting, Cost Management, Financial Statements, Financial Accounting, Cost Accounting, Financial Market, Cost Estimation, Financial Analysis, Corporate Finance, Inventory Accounting, Financial Data, General Accounting, Accounting, Capital Markets, Ledgers (Accounting), Financial Management, Management Accounting, Balance Sheet, Income Statement

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Intermediate · Specialization · 3 - 6 Months

    • G

      Google Cloud

      ETL Processing on Google Cloud Using Dataflow and BigQuery

      Skills you'll gain: Data Pipelines, Extract, Transform, Load, Dataflow, Data Processing, Scripting, Google Cloud Platform, Big Data, Scripting Languages

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Intermediate · Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Mastering Data Analysis with Pandas: Learning Path Part 5

      Skills you'll gain: Pandas (Python Package), Data Visualization, Data Manipulation, Data Cleansing, Matplotlib, Text Mining, Data Analysis, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      17 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Test-Driven Development

      Skills you'll gain: Continuous Delivery, Test Driven Development (TDD), Unit Testing, Continuous Deployment, Continuous Integration, CI/CD, Agile Methodology, Test Automation, Code Review, Maintainability, Software Development, Mockups, Software Development Methodologies, Test Case, Development Testing, Software Testing, Integration Testing, Debugging, Python Programming, Version Control

      4
      Rating, 4 out of 5 stars
      ·
      80 reviews

      Intermediate · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Create surveys with Qualtrics

      Skills you'll gain: Customer Retention, Customer Insights, Customer Data Management, User Feedback, Customer experience improvement, Market Research

      4.2
      Rating, 4.2 out of 5 stars
      ·
      13 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      AI Content Creation with DALL-E: Visual SEO Strategy

      Skills you'll gain: Prompt Engineering, Generative AI, Blogs, Search Engine Optimization, Content Strategy, Web Content, Content Creation, Keyword Research, ChatGPT, Web Analytics and SEO

      4.7
      Rating, 4.7 out of 5 stars
      ·
      11 reviews

      Beginner · Guided Project · Less Than 2 Hours

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

    • Linear Regression Modeling for Health Data: University of Michigan
    • Software Testing for Developers: Codio
    • 软件测试 (Software Testing): Nanjing University
    • Economics for Capital Markets: Corporate Finance Institute
    • Building Agentic RAG with LlamaIndex: DeepLearning.AI
    • Advanced Django: Introduction to Django Rest Framework: Codio
    • Finanzas y Contabilidad para la Toma de Decisiones: Universidades Anáhuac
    • ETL Processing on Google Cloud Using Dataflow and BigQuery: Google Cloud
    • Mastering Data Analysis with Pandas: Learning Path Part 5: Coursera Project Network
    • Test-Driven Development: LearnQuest

    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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