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analytics engineering course

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

What will I learn?

The Analytics Engineering Course teaches you how to build strong ELT pipelines, create tidy warehouse schemas, and link CRM, maintenance, and IoT data sources into dependable analytics. You will learn dimensional modelling, data quality checks, observability, CI/CD, and metric governance to provide reliable dashboards, tackle key business issues, and manage cost-effective, production-ready data processes.

Elevify advantages

Develop skills

  • Business analytics mapping: turn equipment questions into straightforward data requirements.
  • Dimensional modelling: create star schemas and SCDs for equipment performance.
  • ELT pipeline design: develop secure, incremental flows for CRM, IoT, and maintenance data.
  • Metric governance: define, record, and manage core revenue and uptime KPIs.
  • Data quality monitoring: set up tests, alerts, and runbooks for dependable data.

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 selected.
EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company where I work.
SilviaNurse
Very great course. Lots of valuable information.
WiltonCivil Firefighter

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