Analytics Engineering Course
Gain expertise in analytics engineering tailored for equipment-centric teams. Transform raw data from CRM, IoT, and maintenance systems into solid models, dependable metrics, and insightful dashboards that uncover performance trends, enhance uptime, and inform strategic engineering choices effectively.

4 to 360 hours of flexible workload
certificate valid in your country
What Will I Learn?
This course equips you with skills to build robust ELT pipelines, create clean data warehouse schemas, and integrate CRM, maintenance, and IoT data sources for reliable analytics. Master dimensional modeling, data quality checks, observability, CI/CD practices, and metric governance to produce trusted dashboards, address critical business queries, and manage efficient production data workflows.
Elevify Advantages
Develop Skills
- Map business analytics needs by converting equipment queries into precise data requirements.
- Design dimensional models including star schemas and SCDs optimised for equipment performance analysis.
- Develop secure, incremental ELT pipelines for CRM, IoT, and maintenance data integration.
- Establish metric governance to define, document, and manage key revenue and uptime KPIs.
- Implement comprehensive 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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