analytics engineering course
Master analytics engineering tailored for equipment teams. Transform raw CRM, IoT, and maintenance data into strong models, reliable metrics, and dependable dashboards that uncover performance insights, improve uptime, and support better engineering choices. Build skills to deliver trusted analytics that drive business success and operational efficiency.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course teaches you to build strong ELT pipelines, create clean data warehouse models, and link CRM, maintenance, and IoT data for solid analytics. Gain skills in dimensional modelling, data quality checks, observability, CI/CD processes, and metric management to produce reliable dashboards, tackle business queries, and manage efficient production data systems.
Elevify advantages
Develop skills
- Map business analytics needs by turning equipment queries into precise data requirements.
- Design dimensional models with star schemas and SCDs for tracking equipment performance.
- Build secure ELT pipelines for incremental loads from CRM, IoT, and maintenance sources.
- Establish metric governance to define, document, and manage key revenue and uptime KPIs.
- Set up data quality monitoring with tests, alerts, and runbooks for dependable data flows.
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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