Marketing Analytics: Predicting Customer Churn in Python

Starting at USD 39.00
4 hours duration

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

Churn refers to the occurrence when a customer terminates their business or severs ties with a company. This issue is prevalent across various industries, including telecommunications, cable TV, and SaaS. However, companies that possess the ability to forecast churn can proactively take measures to retain valuable customers and gain a competitive advantage. This course aims to equip you with the necessary skills to develop your own customer churn models. Throughout the course, you will gain expertise in exploring and visualizing data, preparing it for modeling, utilizing machine learning to make predictions, and effectively communicating significant and actionable insights to stakeholders. By the conclusion of this course, you will have developed a strong proficiency in utilizing the pandas library for data analysis and the scikit-learn library for machine learning.

About Provider

DataCamp
DataCamp
Online Education Provider ยท 410 courses
Description
DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.
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