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Data Engineering Courses

Data engineering courses can help you learn data modeling, ETL (extract, transform, load) processes, and data warehousing techniques. You can build skills in data pipeline construction, database management, and ensuring data quality and integrity. Many courses introduce tools like Apache Spark, Hadoop, and SQL, that support processing large datasets and optimizing data workflows. You’ll also explore cloud platforms such as AWS and Azure, which facilitate scalable data solutions and enhance your ability to manage data in various environments.

Popular Data Engineering Courses and Certifications


  • Status: New
    New
    Status: Free Trial
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    Coursera

    Career Development For Open Source Data Engineering

    Skills you'll gain: Interviewing Skills, Data Pipelines, Apache Airflow, Professional Networking, Data Presentation, Web Presence, Portfolio Management, GitHub, Apache Spark, Data Quality, Apache, Python Programming, SQL

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Coursera

    Modern Data Architecture & Lakehouse Engineering

    Skills you'll gain: Data Lakes, Data Pipelines, Data Integration, Apache Airflow, Performance Tuning, Data Security, Data Architecture, Data Transformation, Apache Spark, Disaster Recovery, Data Warehousing, Cloud Infrastructure, SQL, Infrastructure as Code (IaC), Database Architecture and Administration, PySpark, Terraform, Extract, Transform, Load, Cloud Computing, Data Governance

    Intermediate · Specialization · 3 - 6 Months

  • G

    Google Cloud

    Introduction to Data Engineering on Google Cloud - Bahasa Indonesia

    Skills you'll gain: Metadata Management, Data Pipelines, Data Migration, Google Cloud Platform, Extract, Transform, Load, Data Lakes, Data Import/Export, Data Infrastructure, Big Data, Apache Airflow, Data Integration, Data Processing, Data Management, Data Storage, Cloud Storage, Real Time Data, Data Transformation, Automation, Serverless Computing

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Einführung in Data Engineering in Google Cloud

    Skills you'll gain: Data Pipelines, Google Cloud Platform, Extract, Transform, Load, Data Infrastructure, Data Processing, Apache Airflow, Cloud Storage, Data Integration, Data Migration, Data Lakes, Big Data, Data Import/Export, Data Storage, Data Storage Technologies, Data Transformation, Data Sharing, Command-Line Interface, Automation, Serverless Computing

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    Coursera

    Data Engineering & Pipeline Reliability for Machine Learning

    Skills you'll gain: Data Preprocessing, Data Cleansing, Data Pipelines, Feature Engineering, Data Quality, MLOps (Machine Learning Operations), Extract, Transform, Load, Data Transformation, Data Integration, Dataflow, Development Environment, Data Wrangling, Apache Airflow, Package and Software Management, Git (Version Control System), Quality Assurance, Exploratory Data Analysis, Cost Management, Resource Utilization, Virtual Environment

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    Packt

    AI-Powered DevOps and Data Engineering on AWS

    Skills you'll gain: AWS SageMaker, AI Integrations, Amazon Web Services, AI Security, AI Enablement, DevOps, IT Automation, Devops Tools, AI Workflows, AWS CloudFormation, AI literacy, Vulnerability Scanning, Artificial Intelligence, Secure Coding, Generative AI Agents, Generative AI, Application Security, Responsible AI, Extract, Transform, Load, Building Codes

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Google Cloud

    Data Engineering, Big Data and ML on Google Cloud 日本語版

    Skills you'll gain: Google Cloud Platform, Dataflow, Data Pipelines, Data Import/Export, Feature Engineering, Data Lakes, Model Deployment, Real Time Data, Dashboard Creation, Apache Kafka, Tensorflow, Data Governance, Data Warehousing, Apache Spark, Dashboard, Data Infrastructure, Data Architecture, Big Data, Extract, Transform, Load, Unstructured Data

    4.3
    Rating, 4.3 out of 5 stars
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    82 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
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    Duke University

    Web Applications and Command-Line Tools for Data Engineering

    Skills you'll gain: Jupyter, Microservices, AWS SageMaker, Command-Line Interface, Package and Software Management, Containerization, Applied Machine Learning, Python Programming, Application Deployment, Test Automation, Algorithms, Software Installation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    43 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Performance Engineering for Data Systems

    Skills you'll gain: Database Design, Performance Tuning, Data Warehousing, Apache Spark, Data Architecture, SQL, Query Languages, Data Transformation, Disaster Recovery, Database Management, PySpark, Infrastructure as Code (IaC), Cloud Computing Architecture, Distributed Computing, Scalability, Data Pipelines, Performance Analysis, Root Cause Analysis, Cost Management, Resource Management

    Intermediate · Specialization · 3 - 6 Months

  • G

    Google Cloud

    Introduction to Data Engineering on Google Cloud - 한국어

    Skills you'll gain: Metadata Management, Extract, Transform, Load, Data Migration, Google Cloud Platform, Data Pipelines, Data Import/Export, Apache Airflow, Data Sharing, Data Storage Technologies, Data Processing, Data Integration, IT Automation, Cloud Storage, Data Storage, Data Store, Real Time Data

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Introduction to Data Engineering on Google Cloud - Português Brasileiro

    Skills you'll gain: Data Processing, Metadata Management, Cloud Storage, Google Cloud Platform, Data Pipelines, Data Migration, Big Data, Data Storage, Extract, Transform, Load, Data Infrastructure, Data Lakes, Data Import/Export, Cloud Services, Data Management, Automation, Data Transformation

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Introduction to Data Engineering on Google Cloud - 简体中文

    Skills you'll gain: Data Pipelines, Data Sharing, Extract, Transform, Load, Data Infrastructure, Cloud Engineering, Apache Airflow, Data Migration, Data Processing, Data Warehousing, Data Integration, Google Cloud Platform, Metadata Management, Data Lakes, Data Import/Export, Cloud Storage, Big Data, IT Automation, Data Transformation

    Beginner · Course · 1 - 3 Months

1…789…834

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

  • Career Development For Open Source Data Engineering: Coursera
  • Modern Data Architecture & Lakehouse Engineering: Coursera
  • Introduction to Data Engineering on Google Cloud - Bahasa Indonesia: Google Cloud
  • Einführung in Data Engineering in Google Cloud: Google Cloud
  • Data Engineering & Pipeline Reliability for Machine Learning: Coursera
  • AI-Powered DevOps and Data Engineering on AWS: Packt
  • Data Engineering, Big Data and ML on Google Cloud 日本語版: Google Cloud
  • Web Applications and Command-Line Tools for Data Engineering: Duke University
  • Performance Engineering for Data Systems: Coursera
  • Introduction to Data Engineering on Google Cloud - 한국어: Google Cloud

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