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Data Analytics and Metrics in Fintech Course

Data Analytics and Metrics in Fintech Course
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.
Workload: between 4 and 360 hours

What our students say

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EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company where I work.
SilviaNurse
Very great course. Lots of rich information.
WiltonCivil Firefighter

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