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analytics engineering course

analytics engineering course
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

This course teaches designing strong ELT pipelines, creating clean data warehouse models, and linking CRM, maintenance, and IoT data sources for dependable analytics. You will master dimensional modelling, data quality checks, observability tools, CI/CD processes, and metric governance to build reliable dashboards, address vital business queries, and manage efficient production data workflows.

Elevify advantages

Develop skills

  • Map business analytics needs by turning equipment queries into precise data requirements.
  • Design dimensional models including star schemas and SCDs for tracking equipment performance.
  • Build secure ELT pipelines with incremental loads for CRM, IoT, and maintenance data.
  • Establish metric governance by defining, documenting, and managing key revenue and uptime KPIs.
  • Set up data quality monitoring using tests, alerts, and runbooks to ensure data reliability.

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

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

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