analytics engineering course
Master analytics engineering tailored for equipment-focused teams. Transform raw CRM, IoT, and maintenance data into strong models, reliable metrics, and dependable dashboards that uncover performance insights, improve uptime, and support smarter engineering choices. Build skills in ELT pipelines, dimensional modelling, data quality, and metric management for production-ready analytics.

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.What our students say
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