analytics engineering course
Equip yourself with analytics engineering skills tailored for equipment teams. Transform raw CRM, IoT, and maintenance data into solid models, reliable metrics, and insightful dashboards that uncover performance trends, enhance uptime, and inform strategic engineering choices. Gain expertise in ELT pipelines, dimensional modeling, quality monitoring, and governance for production-ready data systems.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course teaches designing robust ELT pipelines, modeling clean data warehouse schemas, and integrating CRM, maintenance, and IoT data sources for reliable analytics. You will master dimensional modeling, data quality checks, observability, CI/CD practices, and metric governance to build trusted dashboards, address business questions, and manage efficient production data workflows.
Elevify advantages
Develop skills
- Business analytics mapping: transform equipment queries into precise data requirements.
- Dimensional modeling: create star schemas and SCDs for optimal equipment performance analysis.
- ELT pipeline design: develop secure, incremental pipelines for CRM, IoT, and maintenance data.
- Metric governance: establish, document, and manage key revenue and uptime performance indicators.
- Data quality monitoring: deploy 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.What our students say
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