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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 teaches you to set clear business goals, define exact KPIs, and work out key measures like MAU, conversion, churn, ARPU, and LTV using SQL, Python, and BI tools. You will clean and group data, use outside standards, do simple statistical tests, and change findings into short, useful suggestions backed by repeatable, well-organised reports and dashboards.

Elevify advantages

Develop skills

  • Design fintech KPIs: define wallet metrics linked to growth, revenue, retention.
  • Compute core fintech metrics: MAU, churn, ARPU, conversion with SQL or Python.
  • Segment users by KYC, deposits, and balance to show profitable groups quickly.
  • Turn analytics into action: suggest high-impact product and retention tests.
  • Build short, repeatable metric reports with standards 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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