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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
      I

      IBM

      Data Engineering Career Guide and Interview Preparation

      Skills you'll gain: Professional Networking, Interviewing Skills, LinkedIn, Technical Communication, Professional Development, Data Strategy, Data Ethics, Data Infrastructure, Data Pipelines, Verbal Communication Skills, Communication Strategies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      88 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Meta

      Advanced Data Modeling

      Skills you'll gain: MySQL Workbench, Extract, Transform, Load, Data Modeling, Database Design, MySQL, Data Warehousing, Database Management, Databases, Relational Databases, Database Architecture and Administration, Advanced Analytics, Data Analysis, Data Visualization Software

      4.3
      Rating, 4.3 out of 5 stars
      ·
      103 reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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, Apache Airflow, Data Migration, Data Processing, Data Warehousing, Data Integration, Google Cloud Platform, Metadata Management, Data Lakes, Cloud Storage, Big Data, Data Transformation, Automation, SQL

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Data Modeling, Transformation, and Serving

      Skills you'll gain: Data Modeling, Data Transformation, Data Processing, Data Warehousing, Apache Hadoop, Extract, Transform, Load, Data Pipelines, Apache Spark, Feature Engineering, Data Mart, Star Schema, Data Integrity, Real Time Data, Machine Learning, Text Mining

      4.5
      Rating, 4.5 out of 5 stars
      ·
      83 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      F

      Fractal Analytics

      Advanced Data Techniques for Enterprise AI Systems

      Skills you'll gain: Data Governance, Data Strategy, Data Ethics, Responsible AI, Data Management, Data Architecture, Metadata Management, Data Store, Data Loss Prevention, Data Security, Interoperability, Docker (Software), Data Storage, Data Processing, Semantic Web, Generative AI Agents, Real Time Data, Large Language Modeling, Machine Learning, Agentic systems

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      C

      Coursera Instructor Network

      Building Smarter Data Pipelines: SQL, Spark, Kafka & GenAI

      Skills you'll gain: Apache Kafka, Data Warehousing, Extract, Transform, Load, Microsoft SQL Servers, Snowflake Schema, Star Schema, Performance Tuning, Data Pipelines, Cloud Computing Architecture, Business Intelligence, Real Time Data, Apache Hadoop, Data Modeling, Data Quality, Responsible AI, Apache Spark, SQL, Generative AI, Data Governance, Quality Management

      4.3
      Rating, 4.3 out of 5 stars
      ·
      77 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

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

      Skills you'll gain: Dataflow, Data Pipelines, Google Cloud Platform, Unstructured Data, Data Lakes, Real Time Data, MLOps (Machine Learning Operations), Cloud Engineering, Big Data, Data Warehousing, Data Infrastructure, Cloud Infrastructure, Cloud Storage, Tensorflow, Data Visualization, Applied Machine Learning, Extract, Transform, Load, Dashboard, Data Presentation, Data Architecture

      4.4
      Rating, 4.4 out of 5 stars
      ·
      289 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Mastering Azure Databricks for Data Engineers

      Skills you'll gain: Databricks, CI/CD, Apache Spark, Microsoft Azure, Data Governance, Data Lakes, Data Architecture, Real Time Data, PySpark, Data Pipelines, Data Integration, Data Management, Automation, Data Storage, System Testing, Data Processing, Jupyter, Data Quality, User Provisioning, File Systems

      4.2
      Rating, 4.2 out of 5 stars
      ·
      18 reviews

      Intermediate · Specialization · 1 - 3 Months

    • N

      Northeastern University

      Master of Science in Data Analytics Engineering

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Data Engineering, Big Data and ML on Google Cloud en Español

      Skills you'll gain: Google Cloud Platform, Data Pipelines, Dataflow, Cloud Engineering, Data Lakes, Data Infrastructure, Real Time Data, Big Data, Data Warehousing, Extract, Transform, Load, MLOps (Machine Learning Operations), Data Processing, Cloud Storage, Applied Machine Learning, Data Storage, Looker (Software), Apache Hive, Data Integration, Data Storage Technologies, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      810 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI: Elevate your Data Engineering Career

      Skills you'll gain: Generative AI, Database Design, Data Pipelines, Query Languages, Extract, Transform, Load, Responsible AI, Data Warehousing, Data Ethics, Data Infrastructure, Data Architecture, Data Mining, Data Synthesis, Data Analysis, Artificial Intelligence, Data Quality

      4.7
      Rating, 4.7 out of 5 stars
      ·
      39 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Virtualization, Docker, and Kubernetes for Data Engineering

      Skills you'll gain: Site Reliability Engineering, Docker (Software), Containerization, Kubernetes, Virtualization, Devops Tools, Microservices, Application Deployment, Virtual Machines, Cloud Development, Database Management, GitHub, Cloud-Based Integration, Scalability

      3.9
      Rating, 3.9 out of 5 stars
      ·
      41 reviews

      Advanced · Course · 1 - 4 Weeks

    Searches related to data engineering

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    1…456…834

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

    • Data Engineering Career Guide and Interview Preparation: IBM
    • Advanced Data Modeling: Meta
    • Introduction to Data Engineering on Google Cloud - 简体中文: Google Cloud
    • Data Modeling, Transformation, and Serving: DeepLearning.AI
    • Advanced Data Techniques for Enterprise AI Systems: Fractal Analytics
    • Building Smarter Data Pipelines: SQL, Spark, Kafka & GenAI: Coursera Instructor Network
    • Data Engineering, Big Data and ML on Google Cloud 日本語版: Google Cloud
    • Mastering Azure Databricks for Data Engineers: Packt
    • Master of Science in Data Analytics Engineering: Northeastern University
    • Data Engineering, Big Data and ML on Google Cloud en Español: 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.

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    Data Structure (16)
    Problem Solving (14)
    Object-oriented Programming (13)
    Kubernetes (10)
    List & Label (10)

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