Welcome to the course

Analitik Pemasaran: Memprediksi Churn Pelanggan di Python

Mark Peterson

Director of Data Science, Infoblox

Churn Analytics

Analitik Pemasaran: Memprediksi Churn Pelanggan di Python

Analitik Pemasaran: Memprediksi Churn Pelanggan di Python

Customer churn

When an existing customer stops doing business with a company

Analitik Pemasaran: Memprediksi Churn Pelanggan di Python

Contractual churn

Analitik Pemasaran: Memprediksi Churn Pelanggan di Python

Voluntary churn

Analitik Pemasaran: Memprediksi Churn Pelanggan di Python

Non-contractual churn

Analitik Pemasaran: Memprediksi Churn Pelanggan di Python

Involuntary churn: Credit card expiration

Analitik Pemasaran: Memprediksi Churn Pelanggan di Python

Involuntary churn: Utilities turned off

Analitik Pemasaran: Memprediksi Churn Pelanggan di Python

Utilizing your experience

  • Customer

    • Lack of usage
    • Poor Service
    • Better Price
  • Domain/industry knowledge

Analitik Pemasaran: Memprediksi Churn Pelanggan di Python

Telco Churn Dataset

Description Value
Records 3333
Features 21
Continous 15
Categorical 6
Analitik Pemasaran: Memprediksi Churn Pelanggan di Python

Features of interest

  • Voice mail
  • International calling
  • Cost for the service
  • Customer usage
  • Customer churn
Analitik Pemasaran: Memprediksi Churn Pelanggan di Python

How churn is defined here

Customer cancelling their cellular plan at a given point in time

  • "no"
  • "yes"
Analitik Pemasaran: Memprediksi Churn Pelanggan di Python

Exploratory data analysis using pandas

  • Understand the features of the dataset
  • Compute summary statistics
Analitik Pemasaran: Memprediksi Churn Pelanggan di Python

Exploratory data analysis using pandas

pandas Foundations

  • df.head()
  • df.describe()
  • df.mean()
Analitik Pemasaran: Memprediksi Churn Pelanggan di Python

Let's explore the data!

Analitik Pemasaran: Memprediksi Churn Pelanggan di Python

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