Predict Customer Churn Using R: Build Your Retention Model

This comprehensive Udemy course will guide you step-by-step in building a complete customer churn prediction model using R. Designed for practical learning, the course takes you through a real workflow, from raw data to final result interpretation and retention strategy activation. You’ll start by understanding what churn is, why it happens, and how it directly impacts business profitability. Key retention metrics will be explored through various industry examples, enabling you to grasp the practical value of such models.

Next, you’ll work with a real dataset, learning how to clean, transform, and explore it using tools like dplyr and ggplot2. You’ll identify relevant patterns, create derived variables (including RFM), and prepare your data for modeling while following best practices in data analytics. The course includes training multiple models using caret, comparing logistic regression and random forest, while applying cross-validation and grid search to avoid issues like leakage and overfitting.

Finally, you’ll learn how to present your findings to stakeholders effectively and how to leverage predictions to design impactful retention campaigns. By the end of this course, you will have a functional model and the skills to apply it in real business scenarios. It’s time to take your analytical skills to the next level!

What you will learn:

• Understand customer churn and its business impact
• Build and interpret churn prediction models using R
• Design effective retention strategies based on model predictions

Course Content:

• Sections: 10
• Lectures: 30
• Duration: 5 hours

Requirements:

• Basic data analysis skills
• Familiarity with R and RStudio required

Who is it for?

• Analysts
• Marketing professionals
• CRM teams
• Anyone interested in customer retention strategies

What are you waiting for to get started?

Enroll today and take your skills to the next level. Coupons are limited and may expire at any time!

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