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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 designing robust ELT pipelines, modelling clean data warehouse schemas, and integrating CRM, maintenance, and IoT data sources for reliable analytics. You will master dimensional modelling, data quality checks, observability, CI/CD practices, and metric governance to produce trusted dashboards, address key business queries, and manage efficient production data workflows.

Elevify advantages

Develop skills

  • Business analytics mapping: turn equipment queries into precise data requirements.
  • Dimensional modelling: create star schemas and SCDs for equipment performance analysis.
  • ELT pipeline design: develop secure, incremental flows for CRM, IoT, and maintenance data.
  • Metric governance: establish, document, and manage key revenue and uptime KPIs.
  • Data quality monitoring: set up tests, alerts, and runbooks for dependable data pipelines.

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

I was just promoted to Intelligence Advisor for the Prison System, and the course from Elevify was crucial for me to be the chosen one.
EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company where I work.
SilviaNurse
Great course. Lots of valuable information.
WiltonCivil Firefighter

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