Hands On Training

Marketing Analytics: Predicting Customer Churn in Python

DataCamp

(3)

1 Coupon Available

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

Churn is when customers end a business relationship or stop doing business with a company. This problem affects all industries, including telecommunications, cable TV and SaaS. Companies that can accurately predict churn are better equipped to keep customers happy and to stay ahead of their competition. This course will provide you with the guidance and tools to create customer churn models. You will learn how to analyze and visualize your data, create models, and communicate useful, actionable insights to stakeholders. This course will teach you how to use scikit-learn and pandas libraries for data analysis.

Highlights

Pedagogy

Top 10 Percentile

Rating & Reviews

Top 30 Percentile

Parameters

Pedagogy

Acquire all major Python Programming skills in this course for seamless integration into your daily life. Develop a versatile skill set, allowing you to confidently apply what you've learned in various practical scenarios, enhancing your daily experiences and overall proficiency. An exceptional course in Python Programming, this stands out for its Self Paced learning approach. Learners have the flexibility to progress at their own speed, tailoring the experience to their individual needs.

Rating & Reviews

This highly acclaimed course is among the top-rated in Python Programming, boasting a rating greater than 4 and an overall rating of 5.0. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in Python Programming.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

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 Content

Expand all sections

Module 1: Exploratory Data Analysis

Module 2: Preprocessing for Churn Modeling

Module 3: Churn Prediction

Module 4: Model Tuning

Course Instructors

Mark Peterson

Senior Data Scientist at Alliance Data

Mark is a senior data scientist who holds degrees in Predictive Analytics, Agriculture Economics, and Animal Science. He has worked on a variety of big data and machine learning projects across the U...

Course Reviews

Average Rating Based on 3 reviews

5.0

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