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Data Analytics and Metrics in Fintech Course

Data Analytics and Metrics in Fintech Course
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.
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 I work for.
SilviaNurse
Very great course. Lots of rich information.
WiltonCivil Firefighter

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