Packt

Data Engineering Foundations with Python and SQL

Packt

Data Engineering Foundations with Python and SQL

Included with Coursera PlusLearn more

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

5 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

5 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Design and implement batch and streaming data pipelines

  • Process and analyze large datasets using Apache Spark

  • Build and manage AWS data lakes with S3, EMR, and Athena

Details to know

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Recently updated!

October 2026

Assessments

4 assignments

Taught in English

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Build your subject-matter expertise

This course is part of the The Data Engineering Bootcamp- Zero to Mastery Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 3 modules in this course

This module introduces learners to the foundational concepts of data engineering through an exploration of the Data Engineering Bootcamp: Zero to Mastery. It connects key ideas from the bootcamp to the broader course objectives, helping students understand how to apply these concepts in real-world scenarios.

What's included

1 video1 reading1 assignment

This module provides an overview of key concepts in data engineering, including data storage, processing, sources, orchestration, and integration with AI and cloud technologies. It helps learners understand the foundational elements of data engineering and how they fit into broader data workflows. The module also prepares learners by outlining prerequisites and next steps in their learning journey.

What's included

12 videos1 assignment

This module introduces essential tools and concepts in data engineering, including Python data structures, command-line interfaces, and SQL fundamentals. Learners will develop practical skills in using Jupyter Notebooks, writing Python code, and setting up SQL environments. The content is designed to build a strong foundation for data processing and analysis workflows.

What's included

25 videos1 reading2 assignments

Earn a career certificate

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Instructor

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