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LinkedIn Learning

Data Engineering Hands-On Practice

via LinkedIn Learning Path

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Overview

Practice makes perfect! It's time to flex those programming muscles and practice what you've learned. This learning path provides you with guided challenges and projects so you can continue developing and applying your skills as a data engineer.
  • Apply your data engineering skills in real-world scenarios.
  • Practice your skills in Python for data engineering.
  • Reinforce data engineering knowledge with hands-on tasks.

Syllabus

Courses under this program:
Course 1: Hands-On Introduction: Data Engineering
-Discover and apply the fundamentals of data engineering in this hands-on, approachable, skills-based course.

Course 2: Python for Data Engineering: from Beginner to Advanced
-Practice fundamental skills using Python for data engineering in this hands-on, interactive course with coding challenges in CoderPad.

Course 3: Data Engineering with dbt
-Learn how to get started with setting up, running, and managing a dbt project.

Course 4: ETL in Python and SQL
-Gain the knowledge you need to build data pipelines in a data-driven world.

Course 5: End-to-End Data Engineering Project
-Learn how to create an end-to-end data engineering project using open tools from the modern data stack to turn scattered data into a model that drives insights and decision-making.

Courses

Taught by

Vinoo Ganesh, Deepak Goyal, Mark Freeman II, Jennifer Ebe and Thalia Barrera

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