Python for Data Engineering
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Data ScienceIntermediate

Python for Data Engineering

Build robust data pipelines and ETL processes

4.7
(601 reviews)
2,134 students
9 weeks
Michael Chen

Instructor

Michael Chen

English

What you'll learn

Design scalable data pipelines
Build ETL processes
Work with data warehouses
Orchestrate workflows with Airflow
Process big data with PySpark
Optimize data infrastructure

Course Description

Learn to design and build scalable data pipelines and ETL processes using Python. This course covers data engineering fundamentals, working with databases, building data warehouses, orchestrating workflows with Apache Airflow, and processing big data with PySpark. Perfect for developers and analysts looking to transition into data engineering roles.

Requirements

  • Strong Python programming skills
  • SQL knowledge
  • Understanding of databases
  • Linux command line basics
Python for Data Engineering

Preview this course

$39$19975% off

One-time payment • Lifetime access

30-Day Money-Back Guarantee

This course includes:

  • 40 hours of practical content
  • Real-world pipeline projects
  • Code templates included
  • Certificate of completion
  • Cloud platform credits
  • Career guidance