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Risk Analytics Course

Risk Analytics Course
flexible workload from 4 to 360h
valid certificate in your country

What will I learn?

The Risk Analytics Course teaches you how to transform raw order data into clear risk indicators and practical steps. You will learn to clean and validate datasets, examine churn, revenue fluctuations, and payment defaults, create simple predictive scores, and develop targeted retention, pricing, and payment measures. By the end, you will be prepared to build dashboards, monitor KPIs, and conduct experiments that significantly lower risk and safeguard revenue.

Elevify advantages

Develop skills

  • Build risk dashboards to track churn, revenue volatility, and defaults in real time.
  • Design quick risk experiments using A/B tests, KPIs, and impact-focused reporting.
  • Engineer churn and fraud features such as RFM, behaviour signals, and payment risk flags.
  • Validate simple risk models with splits, lift, precision at K, and stability checks.
  • Segment risk by cohorts and channels to uncover hidden churn and payment patterns.

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 classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... I appreciate everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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