Data Analytics and Metrics in Fintech Course
Master fintech data analytics: define wallet KPIs, calculate MAU, churn, ARPU, and conversion, segment users, run basic significance checks, and turn metrics into clear growth, engagement, and revenue strategies for modern finance teams.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This short, practical course shows you how to design clear business objectives, define precise KPIs, and calculate core metrics like MAU, conversion, churn, ARPU, and LTV using SQL, Python, and BI tools. You will clean and segment data, apply external benchmarks, run basic statistical checks, and turn results into concise, actionable recommendations supported by reproducible, well-structured reports and dashboards.
Elevify advantages
Develop skills
- Design fintech KPIs: define wallet metrics tied to growth, revenue, retention.
- Compute core fintech metrics: MAU, churn, ARPU, conversion with SQL or Python.
- Segment users by KYC, deposits, and balance to reveal profitable cohorts fast.
- Turn analytics into action: propose high-impact product and retention experiments.
- Build concise, reproducible metric reports with benchmarks and clear visuals.
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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