Data Engineering with Python (Intermediate): Pipelines and ETL

Build data pipelines using Python: ETL, batch processing, and practical data engineering patterns.

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... English
... Certificate Course
... 0 Students
... 17h 30m

Course Overview

About This Course

This course teaches core data engineering skills using Python. You will learn how to build ETL pipelines, validate data, and design reliable batch workflows.

What You Will Learn

  • ETL concepts and pipeline architecture
  • Data ingestion and validation
  • Batch processing patterns
  • Error handling and retries
  • Scheduling and orchestration basics
  • Building production-style pipelines

Duration

9–13 hours (self-paced).

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Requirment

  • Python fundamentals

  • Basic SQL knowledge

  • Interest in data workflows

Outcomes

  • Build ETL pipelines using Python

  • Validate and clean incoming data

  • Design reliable batch data workflows

  • Prepare for data engineering roles

Instructor

...
Dr. Kay

1.8

  • ... 13 Students
  • ... 92 Courses
  • ... 2 Reviews

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    Students

    0
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    Language

    English
  • ...

    Duration

    17h 30m
  • Level

    intermediate
  • ...

    Expiry period

    Lifetime
  • ...

    Certificate

    yes
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