analytics engineering course
Master analytics engineering for equipment-focused teams. Learn to turn raw CRM, IoT, and maintenance data into robust models, trusted metrics, and reliable dashboards that reveal performance, boost uptime, and drive smarter engineering decisions.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The Analytics Engineering Course shows you how to design robust ELT pipelines, model clean warehouse schemas, and connect CRM, maintenance, and IoT sources into reliable analytics. Learn dimensional modeling, data quality checks, observability, CI/CD, and metric governance so you can deliver trusted dashboards, answer key business questions, and run cost-efficient, production-grade data workflows.
Elevify advantages
Develop skills
- Business analytics mapping: convert equipment questions into clear data needs.
- Dimensional modeling: design star schemas and SCDs for equipment performance.
- ELT pipeline design: build secure, incremental CRM, IoT, and maintenance flows.
- Metric governance: define, document, and control core revenue and uptime KPIs.
- Data quality monitoring: implement tests, alerts, and runbooks for reliable data.
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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