Quantitative Methods · Mathematical Foundations

La Regresión Lineal — Predicción de Churn en Fintech

Simulation where learners build, diagnose, and deploy a linear regression model to predict customer churn at a Colombian fintech serving underbanked populations.

4 rounds Executive English, Español

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About this simulation

Simulation where learners build, diagnose, and deploy a linear regression model to predict customer churn at a Colombian fintech serving underbanked populations. Across 4 rounds they perform exploratory analysis, specify the model, detect statistical anomalies (multicollinearity, heteroscedasticity, non-linearity), and design an operational implementation strategy.

Who it is for

An advanced simulation for participants used to working with the main frameworks and trade-offs of the subject, designed for executive education and experienced professionals.

How a session runs

  1. The instructor creates a session from the Eureka dashboard and invites the participants.
  2. Participants play 4 rounds. In each one they submit their decisions and the simulation calculates the results.
  3. The simulation can be run in English, Español.
  4. The instructor follows each participant's progress and results from the dashboard, and uses the class results for the debrief.

What participants track

What participants follow on screen as the rounds go by:

  • Model Performance

Subjects covered

Designed for courses in Mathematical Foundations.

  • Mergers, Acquisitions & Corporate Restructuring
  • Fintech & Digital Banking
  • Risk Management

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