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Analytics Engineering Course

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

What Will I Learn?

This course equips you with skills to build robust ELT pipelines, create clean data warehouse schemas, and integrate CRM, maintenance, and IoT data sources for reliable analytics. Master dimensional modeling, data quality checks, observability, CI/CD practices, and metric governance to produce trusted dashboards, address critical business queries, and manage efficient production data workflows.

Elevify Advantages

Develop Skills

  • Map business analytics needs by converting equipment queries into precise data requirements.
  • Design dimensional models including star schemas and SCDs optimised for equipment performance analysis.
  • Develop secure, incremental ELT pipelines for CRM, IoT, and maintenance data integration.
  • Establish metric governance to define, document, and manage key revenue and uptime KPIs.
  • Implement comprehensive 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
Great course. Lots of valuable information.
WiltonCivil Firefighter

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