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Machine Learning for Marketing in Python Data Camp

Highlights
Tuition fee
Free
Free
Free
Unknown
Tuition fee
Free
Free
Free
Unknown
Duration
1 days
Duration
1 days
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

In this Machine Learning for Marketing in Python course offered by Data Camp you will learn and implement Machine Learning use cases for Marketing in Python, from customer lifetime value, predicting churn to segmentation.

Overview

Context

The rise of machine learning (almost sounds like "rise of the machines"?) and applications of statistical methods to marketing have changed the field forever. Machine learning is being used to optimize customer journeys which maximize their satisfaction and lifetime value.

This Machine Learning for Marketing in Python course offered by Data Camp will give you the foundational tools which you can immediately apply to improve your company’s marketing strategy. 

You will learn how to use different techniques to predict customer churn and interpret its drivers, measure, and forecast customer lifetime value, and finally, build customer segments based on their product purchase patterns. 

You will use customer data from a telecom company to predict churn, construct a recency-frequency-monetary dataset from an online retailer for customer lifetime value prediction, and build customer segments from product purchase data from a grocery shop.

Programme Structure

Chapters

  • Machine learning for marketing 
  • Churn prediction and drivers
  • Customer Lifetime Value (CLV) prediction
  • Customer segmentation

Key information

Duration

  • Part-time
    • 1 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

  • New York City, United States

What students do after studying

Join for free or log in to access our complete career info list.

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

  • Supervised Learning with scikit-learn

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    Free
  • Out-of-State
    Free
  • Domestic

    In-State
    Free

Additional Details

  • This course can be accessed for free with the Data Camp Premium or Teams subscriptions

Funding

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