Marketing Analytics: Predicting Customer Churn in Python
Course Features
Duration
4 hours
Delivery Method
Online
Available on
Limited Access
Accessibility
Mobile, Desktop, Laptop
Language
English
Subtitles
English
Level
Intermediate
Teaching Type
Self Paced
Video Content
4 hours
Course Description
Course Overview
Virtual Labs
International Faculty
Post Course Interactions
Hands-On Training,Instructor-Moderated Discussions
Skills You Will Gain
Prerequisites/Requirements
Data Manipulation with pandas
What You Will Learn
Learn how to use Python to analyze customer churn and build a model to predict it
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
Course Instructors
Course Reviews
Average Rating Based on 3 reviews
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