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Data Science for Marketing Analytics - Second Edition

You're reading from Data Science for Marketing Analytics - Second Edition

Product type Book

Published in Sep 2021

Publisher Packt

ISBN-13 9781800560475

Pages 636 pages

Edition 2nd Edition

Languages

Concepts

Authors (3):

Mirza Rahim Baig

Gururajan Govindan

Vishwesh Ravi Shrimali

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Table of Contents (11) Chapters

Preface

1. Data Preparation and Cleaning

2. Data Exploration and Visualization

3. Unsupervised Learning and Customer Segmentation

4. Evaluating and Choosing the Best Segmentation Approach

5. Predicting Customer Revenue Using Linear Regression

6. More Tools and Techniques for Evaluating Regression Models

7. Supervised Learning: Predicting Customer Churn

8. Fine-Tuning Classification Algorithms

9. Multiclass Classification Algorithms

Appendix

Churn Prediction Case Study

You work at a multinational bank that is aiming to increase its market share in Europe. Recently, the number of customers using banking services has declined, and the bank is worried that existing customers have stopped using them as their main bank. As a data scientist, you are tasked with finding out the reasons behind customer churn and predicting future customer churn. The marketing team is interested in your findings and wants to better understand existing customer behavior and possibly predict future customer churn. Your results will help the marketing team to use their budget wisely to target potential churners.

Before you start analyzing the problem, you'll first need to have the data at you disposal.

Obtaining the Data

This step refers to collecting data. Data can be obtained from a single source or multiple sources. In the real world, collecting data is not always easy since the data is often divided. It can be present in multiple...

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Authors (3)

Mirza Rahim Baig

Mirza Rahim Baig is a Data Science and Artificial Intelligence leader with over 13 years of experience across e-commerce, healthcare, and marketing. He currently holds the position of leading Product Analytics at Marketing Services for Zalando, Europe's largest online fashion platform. In addition, he serves as a Subject Matter Expert and faculty member for MS level programs at prominent Ed-Tech platforms and institutes in India. He is also the lead author of two books, 'Data Science for Marketing Analytics' and 'The Deep Learning Workshop,' both published by Packt. He is recognized as a thought leader in my field and frequently participates as a guest speaker at various forums.

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Gururajan Govindan

Gururajan Govindan is a data scientist, intrapreneur, and trainer with more than seven years of experience working across domains such as finance and insurance. He is also an author of The Data Analysis Workshop, a book focusing on data analytics. He is well known for his expertise in data-driven decision-making and machine learning with Python.

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Vishwesh Ravi Shrimali

Vishwesh Ravi Shrimali graduated from BITS Pilani, where he studied mechanical engineering, in 2018. He also completed his Masters in Machine Learning and AI from LJMU in 2021. He has authored - Machine learning for OpenCV (2nd edition), Computer Vision Workshop and Data Science for Marketing Analytics (2nd edition) by Packt. When he is not writing blogs or working on projects, he likes to go on long walks or play his acoustic guitar.

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