Marketing Analytics: Predicting Customer Churn in Python

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Actualizado 03/2025

Learn how to use Python to analyze customer churn and build a model to predict it.

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Descrição do curso

Churn is when a customer stops doing business or ends a relationship with a company. It’s a common problem across a variety of industries, from telecommunications to cable TV to SaaS, and a company that can predict churn can take proactive action to retain valuable customers and get ahead of the competition. This course will provide you with a roadmap to create your own customer churn models. You’ll learn how to explore and visualize your data, prepare it for modeling, make predictions using machine learning, and communicate important, actionable insights to stakeholders. By the end of the course, you’ll become comfortable using the pandas library for data analysis and the scikit-learn library for machine learning.

Pré-requisitos

Data Manipulation with pandas

Exploratory Data Analysis

Iniciar capítulo

Welcome to the course

50 XP

Defining customer churn

50 XP

Exploring customer churn

Descrição do curso

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Junte-se a mais .css-nklxlk{color:var(--wf-brand--main, #03EF62);}16 milhões de alunos e comece Marketing Analytics: Predicting Customer Churn in Python hoje!

Crie sua conta gratuita

Junte-se a mais 16 milhões de alunos e comece Marketing Analytics: Predicting Customer Churn in Python hoje!