analytics engineering course
Master analytics engineering tailored for equipment teams. Transform raw CRM, IoT, and maintenance data into strong models, dependable metrics, and trustworthy dashboards that uncover performance insights, improve uptime, and support better engineering choices. Build skills to handle real-world data challenges with confidence and efficiency in a production environment.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course teaches designing strong ELT pipelines, creating clean data warehouse models, and linking 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
- Business analytics mapping: turn equipment issues into precise data requirements.
- Dimensional modelling: create star schemas and SCDs for equipment metrics.
- ELT pipeline design: develop secure, incremental flows for CRM, IoT, and maintenance data.
- Metric governance: establish, record, and manage key revenue and uptime indicators.
- Data quality monitoring: set up tests, alerts, and procedures for dependable data.
Suggested summary
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