Database Analytics Course
Gain expertise in database analytics for tech roles by learning to design effective schemas, craft high-impact SQL queries, develop cohorts and revenue reports, resolve data quality problems, and convert key metrics into business decisions that boost product growth and recurring revenue streams. The course equips you with practical skills for real-world analytics challenges.

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.What our students say
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