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 uncover performance insights, improve uptime, and support informed engineering choices. Discover how to design scalable pipelines and govern key indicators for business success.

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 integrate CRM, maintenance, and IoT data sources for dependable analytics. You'll master dimensional modelling, data quality assurance, observability tools, CI/CD processes, and metric management to produce 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 slowly changing dimensions for equipment performance tracking.
- Build secure incremental ELT pipelines for CRM, IoT, and maintenance data sources.
- Establish metric governance by defining, documenting, and managing essential revenue and uptime KPIs.
- Implement data quality monitoring with 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