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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
      S

      Snowflake

      Intro to Snowflake for Devs, Data Scientists, Data Engineers

      Skills you'll gain: Data Engineering, Data Manipulation, Data Lakes, Data Warehousing, Cloud Development, SQL, Data Pipelines, Extract, Transform, Load, Application Development, Artificial Intelligence and Machine Learning (AI/ML), Role-Based Access Control (RBAC), Stored Procedure, Data Storage, Database Management, LLM Application, Generative AI, Data Science, Machine Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      150 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Modernizing Data Lakes and Data Warehouses with GCP en Español

      Skills you'll gain: Cloud Engineering, Data Lakes, Google Cloud Platform, Data Infrastructure, Data Warehousing, Cloud Storage, Data Storage, Data Storage Technologies, Data Management, SQL, Scalability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      96 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      G

      Google Cloud

      Modernizing Data Lakes & Data Warehouses with GC - Italiano

      Skills you'll gain: Data Lakes, Data Warehousing, Data Pipelines, Data Infrastructure, Data Architecture, Cloud Storage, Google Cloud Platform, Big Data, Data Processing, Cloud Development, SQL

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Serverless Data Processing with Dataflow: Foundations

      Skills you'll gain: Dataflow, Serverless Computing, Identity and Access Management, Data Pipelines, Google Cloud Platform, Cloud Security, Data Processing, Data Security, Cloud Storage, Data Storage Technologies, Containerization

      4.2
      Rating, 4.2 out of 5 stars
      ·
      92 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Modernizing Data Lakes and Data Warehouses with GCP en Français

      Skills you'll gain: Data Lakes, Data Warehousing, Google Cloud Platform, Data Infrastructure, Data Storage, Data Architecture, Data Pipelines, Cloud Storage, Data Storage Technologies, Big Data, Data Management, Cloud Solutions, SQL

      4.8
      Rating, 4.8 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Modernizing Data Lakes and Data Warehouses with GCP em Português Brasileiro

      Skills you'll gain: Google Cloud Platform, Data Lakes, Data Warehousing, Data Pipelines, Cloud Storage, Data Infrastructure, Cloud Solutions, Data Architecture, Data Processing, Business Intelligence, Data Transformation, Data Analysis, SQL

      4.8
      Rating, 4.8 out of 5 stars
      ·
      22 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Modernizing Data Lakes and Data Warehouses with GCP 日本語版

      Skills you'll gain: Data Lakes, Google Cloud Platform, Cloud Engineering, Data Pipelines, Data Warehousing, Data Infrastructure, Cloud Storage, Data Architecture, Big Data, Scalability, SQL

      4.3
      Rating, 4.3 out of 5 stars
      ·
      48 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: Business Priorities and Data Ingestion

      Skills you'll gain: Design Thinking, Data Science, Process Design, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Quality, Business Priorities, Pandas (Python Package), NumPy, Machine Learning, Python Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      182 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      E

      EDUCBA

      Spark and Python for Big Data with PySpark

      Skills you'll gain: PySpark, Apache Spark, MySQL, Data Pipelines, Scala Programming, Extract, Transform, Load, Customer Analysis, Apache Hadoop, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Data Processing, Advanced Analytics, Big Data, Apache Maven, Statistical Machine Learning, Unsupervised Learning, SQL, Apache, Python Programming

      Beginner · Specialization · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      E

      EDUCBA

      PySpark & Python: Hands-On Guide to Data Processing

      Skills you'll gain: PySpark, MySQL, Data Pipelines, Apache Spark, Data Processing, SQL, Data Transformation, Data Manipulation, Distributed Computing, Programming Principles, Python Programming, Debugging

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      E

      EDUCBA

      Apache Spark with Scala: Master Data Building & Analysis

      Skills you'll gain: Apache Spark, Scala Programming, Apache Hadoop, Apache Maven, Real Time Data, Data Processing, Scalability, Data Structures, Object Oriented Programming (OOP), Systems Integration

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      Edureka

      PySpark in Action: Hands-On Data Processing

      Skills you'll gain: PySpark, Apache Spark, Apache Hadoop, Data Pipelines, Big Data, Data Processing, Distributed Computing, Data Analysis Expressions (DAX), Data Integration, Data Transformation, SQL, Data Manipulation, Data Cleansing

      3
      Rating, 3 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 3 Months

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    1…101112…834

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

    • Intro to Snowflake for Devs, Data Scientists, Data Engineers: Snowflake
    • Modernizing Data Lakes and Data Warehouses with GCP en Español: Google Cloud
    • Modernizing Data Lakes & Data Warehouses with GC - Italiano: Google Cloud
    • Serverless Data Processing with Dataflow: Foundations: Google Cloud
    • Modernizing Data Lakes and Data Warehouses with GCP en Français: Google Cloud
    • Modernizing Data Lakes and Data Warehouses with GCP em Português Brasileiro: Google Cloud
    • Modernizing Data Lakes and Data Warehouses with GCP 日本語版: Google Cloud
    • AI Workflow: Business Priorities and Data Ingestion: IBM
    • Spark and Python for Big Data with PySpark: EDUCBA
    • PySpark & Python: Hands-On Guide to Data Processing: EDUCBA

    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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