Overview
Context
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 Marketing Analytics - Predicting Customer Churn in Python course offered by Data Camp 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.
Programme Structure
Chapters
- Exploratory Data Analysis
- Preprocessing for Churn Modeling
- Churn Prediction
- Model Tuning
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
Language
Delivered
Campus Location
- New York City, United States
Disciplines
Software Engineering Data Analytics View 351 other Short Courses in Software Engineering in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
PREREQUISITES
- Data Manipulation with pandas
Tuition Fees
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
-
Domestic
Applies to youIn-StateFree
Additional Details
- This course can be accessed for free with the Data Camp Premium or Teams subscriptions