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Database Analytics Course

Database Analytics Course
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

This course covers designing relational schemas, creating star models, handling slowly changing dimensions, cleaning and validating user, subscription, payment, and event data, writing efficient SQL for time-based and cohort analysis, preventing revenue double-counting, defining metrics like MAU and churn, and transforming query results into actionable insights and reliable dashboards.

Elevify advantages

Develop skills

  • Design star schemas for efficient relational analytics and accurate reporting.
  • Perform SQL cohort analysis to build MAU, retention, and revenue cohorts using real data.
  • Write multi-table revenue queries joining users, subscriptions, and payments without double-counting.
  • Ensure data quality by detecting, cleaning, and preventing issues in events and payments.
  • Implement production-ready workflows including SQL versioning, pipeline monitoring, and better instrumentation.

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.
Workload: between 4 and 360 hours

What our students say

I was just promoted to Intelligence Advisor of the Prison System, and the course from Elevify was crucial for me to be chosen.
EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company I work for.
SilviaNurse
Very great course. Lots of rich information.
WiltonCivil Firefighter

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