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Marketing Analytics: Predicting Customer Churn in Python

中级技能水平
更新时间 2023年12月
Learn how to use Python to analyze customer churn and build a model to predict it.
免费开始课程
PythonExploratory Data Analysis
4小时
13 视频
45 道练习
3,550 XP
18,385
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课程描述

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.

先决条件

Data Manipulation with pandas
1

Exploratory Data Analysis

Begin exploring the Telco Churn Dataset using pandas to compute summary statistics and Seaborn to create attractive visualizations.
开始章节
2

Preprocessing for Churn Modeling

Having explored your data, it's now time to preprocess it and get it ready for machine learning. Learn the why, what, and how of preprocessing, including feature selection and feature engineering.
开始章节
Marketing Analytics: Predicting Customer Churn in Python
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