analytics engineering course
Equip yourself with analytics engineering skills tailored for equipment-focused teams. Transform raw CRM, IoT, and maintenance data into solid models, reliable metrics, and dependable dashboards that uncover performance insights, improve uptime, and support informed engineering choices. Gain expertise in ELT pipelines, dimensional modelling, data quality, and metric management for production-ready analytics.

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.What our students say
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