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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 metrics like MAU, conversion, churn, ARPU, and LTV using SQL, Python, and BI tools. You will clean and group data, use outside benchmarks, do simple statistical tests, and change results into short, useful recommendations 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 spot profitable cohorts quickly.
  • Turn analytics into action: suggest 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 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

Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.
André Felipe
André FelipePrompt Engineering Student

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