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Analytics Engineering Course

Analytics Engineering Course
4 to 360 hours of flexible workload
valid certificate in your country

What Will I Learn?

The Analytics Engineering Course shows you how to design robust ELT pipelines, model clean warehouse schemas, and connect CRM, maintenance, and IoT sources into reliable analytics. Learn dimensional modeling, data quality checks, observability, CI/CD, and metric governance so you can deliver trusted dashboards, answer key business questions, and run cost-efficient, production-grade data workflows.

Elevify Differentials

Develop Skills

  • Business analytics mapping: convert equipment questions into clear data needs.
  • Dimensional modeling: design star schemas and SCDs for equipment performance.
  • ELT pipeline design: build secure, incremental CRM, IoT, and maintenance flows.
  • Metric governance: define, document, and control core revenue and uptime KPIs.
  • Data quality monitoring: implement tests, alerts, and runbooks for reliable data.

Suggested Summary

Before starting, you can change the chapters and 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 purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to switch platforms... I thank you for everything you do, I've already recommended you to other people...
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 presentation style and video transcription, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.
André Felipe
André FelipePrompt Engineering Student

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