Data Analytics and Metrics in Fintech Course
Gain expertise in fintech data analytics by defining wallet KPIs, computing metrics such as MAU, churn, ARPU, and conversion rates, segmenting users effectively, performing basic statistical tests, and transforming data into practical strategies for growth, engagement, and revenue in modern finance teams. This course equips you with hands-on skills using SQL, Python, and BI tools to deliver impactful recommendations through structured reports and dashboards.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This practical course teaches designing business objectives, defining KPIs, and computing metrics like MAU, conversion, churn, ARPU, LTV with SQL, Python, BI tools. Learn data cleaning, segmentation, benchmarking, statistical checks, and crafting actionable insights via reproducible reports and dashboards for fintech success.
Elevify advantages
Develop skills
- Design fintech KPIs linking wallet metrics to growth, revenue, and retention goals.
- Calculate key fintech metrics like MAU, churn, ARPU, and conversion using SQL or Python.
- Segment users based on KYC, deposits, and balances to identify profitable cohorts quickly.
- Convert analytics insights into actionable product and retention experiments.
- Create concise, reproducible reports with benchmarks and clear visual dashboards.
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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