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Marketing Analytics: Predicting Customer Churn in Python

Intermediate
Updated 12/2024
Learn how to use Python to analyze customer churn and build a model to predict it.
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PythonExploratory Data Analysis4 hours13 videos45 exercises3,550 XP16,652Statement of Accomplishment

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Course Description

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.

Prerequisites

Data Manipulation with pandas
1

Exploratory Data Analysis

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2

Preprocessing for Churn Modeling

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3

Churn Prediction

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4

Model Tuning

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Marketing Analytics: Predicting Customer Churn in Python
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