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analytics engineering course

analytics engineering course
4 to 360 hours 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'll master dimensional modelling, data quality checks, observability, CI/CD practices, and metric governance to build trusted dashboards, address key 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 equipment performance analysis.
  • Build secure, incremental ELT pipelines for CRM, IoT, and maintenance data flows.
  • Establish metric governance by defining, documenting, and managing key revenue and uptime KPIs.
  • Implement data quality monitoring with tests, alerts, and runbooks for dependable data pipelines.

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 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 I work for.
SilviaNurse
Really great course. Lots of valuable information.
WiltonCivil Firefighter

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