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Analytics engineering course

Analytics engineering course
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

This course teaches you to build strong ELT pipelines, create clean data warehouse models, and link CRM, maintenance, and IoT data for solid analytics. Gain skills in dimensional modelling, data quality checks, observability, CI/CD processes, and metric management to produce reliable dashboards, tackle business queries, and manage efficient production data systems.

Elevify advantages

Develop skills

  • Map business analytics needs by turning equipment queries into precise data requirements.
  • Design dimensional models with star schemas and SCDs for tracking equipment performance.
  • Build secure ELT pipelines for incremental loads from CRM, IoT, and maintenance sources.
  • Establish metric governance to define, document, and manage key revenue and uptime KPIs.
  • Set up data quality monitoring with tests, alerts, and runbooks for dependable data flows.

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 lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change 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 change chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, 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 help a lot with learning.
André Felipe
André FelipePrompt Engineering Student

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