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Data Engineering Fundamentals Course

Data Engineering Fundamentals Course
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

The Data Engineering Fundamentals Course gives you a clear, practical path to building reliable analytics data. You will learn raw schema design for events, users, and purchases, daily ingestion and storage patterns, transformation and enrichment steps, essential data quality checks, error handling, and basic warehouse modeling, then finish with simple SQL-style queries that power accurate, trustworthy reporting.

Elevify advantages

Develop skills

  • Design analytics schemas: model users, events, and purchases for fast insight.
  • Build daily data pipelines: ingest, store, and transform CSV exports reliably.
  • Clean and enrich data: dedupe, fix timestamps, and derive sessions and attributions.
  • Write practical SQL: join raw tables, define metrics, and answer business questions.
  • Implement data quality checks: detect schema drift, anomalies, and broken keys.

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload
Workload: between 4 and 360 hours

What our students say

Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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