analytics engineering course
Gain expertise in analytics engineering tailored for equipment management teams. Transform unprocessed CRM, IoT, and maintenance data into solid models, dependable metrics, and trustworthy dashboards that highlight performance trends, improve uptime, and support intelligent engineering choices with cost-effective workflows.

flexible workload of 4 to 360h
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 sources for dependable analytics. You will master dimensional modelling, data quality checks, observability tools, CI/CD processes, and metric governance to build reliable dashboards, address vital 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 tracking equipment performance.
- Build secure ELT pipelines with incremental loads for CRM, IoT, and maintenance data.
- Establish metric governance by defining, documenting, and managing key revenue and uptime KPIs.
- Set up data quality monitoring using tests, alerts, and runbooks to ensure data reliability.
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
FAQs
Who is Elevify? How does it work?
Do the courses have certificates?
Are the courses free?
What is the course workload?
What are the courses like?
How do the courses work?
What is the duration of the courses?
What is the cost or price of the courses?
What is an EAD or online course and how does it work?
PDF Course