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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
      E

      Edureka

      PySpark in Action: Hands-On Data Processing

      Skills you'll gain: PySpark, Apache Spark, Apache Hadoop, Data Processing, Big Data, Pandas (Python Package), Data Manipulation, SQL, Data Transformation

      3
      Rating, 3 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 3 Months

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

      IBM

      Build RAG Applications: Get Started

      Skills you'll gain: Generative AI, Artificial Intelligence, Prompt Engineering, Large Language Modeling, Application Development, Application Frameworks, User Interface (UI), Natural Language Processing, Jupyter

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Flask for Beginners: Creating an Application

      Skills you'll gain: Flask (Web Framework), Application Deployment, Web Applications, Application Frameworks, Application Development, Full-Stack Web Development, Web Development, HTML and CSS

      4.5
      Rating, 4.5 out of 5 stars
      ·
      14 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      P

      Packt

      Intermediate Data Analysis Techniques with Pandas

      Skills you'll gain: Pandas (Python Package), Text Mining, Data Manipulation, Data Cleansing, Data Analysis Software, Data Integration, Data Wrangling, Data Transformation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Gemini in Google Meet

      Skills you'll gain: Google Workspace, Generative AI, Collaborative Software, Prompt Engineering

      4
      Rating, 4 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      N

      Northeastern University

      Practical Engineering Data Mining: Techniques and Uses

      Skills you'll gain: Data Mining, Exploratory Data Analysis, Dimensionality Reduction, Data Cleansing, Data Transformation, Text Mining, Data-Driven Decision-Making, Forecasting, Big Data, Feature Engineering, Unstructured Data, Data Analysis, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Statistical Analysis, Data Visualization Software, Unsupervised Learning, Machine Learning, Regression Analysis

      Intermediate · Course · 1 - 4 Weeks

    • T

      The University of Edinburgh

      Climate Solutions: UAE

      Skills you'll gain: Mitigation, Environmental Issue, Environment, Environmental Science, Environmental Policy, Community Development, Environmental Monitoring, Economic Development, Simulation and Simulation Software, Advocacy

      5
      Rating, 5 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Air Conditioning Equipment Selection, Design and Sizing

      Skills you'll gain: HVAC, Building Services Engineering, Equipment Design, Thermal Management, Mechanical Engineering, Hydraulics, Plumbing, Facility Repair And Maintenance, Drafting and Engineering Design, Control Systems, Energy and Utilities, Engineering Calculations

      4.2
      Rating, 4.2 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      Universidad Nacional Autónoma de México

      Estadística y probabilidad: principios de Inferencia

      Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability Distribution, Sampling (Statistics), Probability & Statistics, Probability, Statistics, Statistical Analysis, Descriptive Statistics

      2.9
      Rating, 2.9 out of 5 stars
      ·
      15 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Ethical Issues in AI and Professional Ethics

      Skills you'll gain: Data Ethics, Diversity Awareness, Generative AI, Ethical Standards And Conduct, Cultural Diversity, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Social Justice, Machine Learning, Algorithms, Information Privacy

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      17 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Sustainability Challenges for the Planet and Employers

      Skills you'll gain: Sustainability Reporting, Waste Minimization, Interactive Learning, Corporate Sustainability, Student Engagement, Environment, Environmental Issue, Key Performance Indicators (KPIs), Environment and Resource Management, Environmental Social And Corporate Governance (ESG), Process Analysis, Action Oriented, Peer Review, Presentations

      4.5
      Rating, 4.5 out of 5 stars
      ·
      17 reviews

      Beginner · Course · 1 - 3 Months

    • T

      Technical University of Denmark (DTU)

      Ash-Related Operational Challenges in Energy Utilization of Sustainable Fuels

      Skills you'll gain: Energy and Utilities, Chemistry, Waste Minimization, Chemical Engineering, Process Engineering, Thermal Management, Environmental Engineering, Failure Analysis, Manufacturing Processes, Laboratory Testing, Mathematical Modeling, Experimentation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      27 reviews

      Intermediate · Course · 1 - 3 Months

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

    • PySpark in Action: Hands-On Data Processing: Edureka
    • Build RAG Applications: Get Started: IBM
    • Flask for Beginners: Creating an Application: Coursera Project Network
    • Intermediate Data Analysis Techniques with Pandas: Packt
    • Gemini in Google Meet: Google Cloud
    • Practical Engineering Data Mining: Techniques and Uses: Northeastern University
    • Climate Solutions: UAE: The University of Edinburgh
    • Air Conditioning Equipment Selection, Design and Sizing: L&T EduTech
    • Estadística y probabilidad: principios de Inferencia: Universidad Nacional Autónoma de México
    • Ethical Issues in AI and Professional Ethics: University of Colorado Boulder

    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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