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  • Book Overview & Buying Hands-On Data Science for Marketing
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Hands-On Data Science for Marketing

Hands-On Data Science for Marketing

By : Yoon Hyup Hwang
4.1 (14)
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Hands-On Data Science for Marketing

Hands-On Data Science for Marketing

4.1 (14)
By: Yoon Hyup Hwang

Overview of this book

Regardless of company size, the adoption of data science and machine learning for marketing has been rising in the industry. With this book, you will learn to implement data science techniques to understand the drivers behind the successes and failures of marketing campaigns. This book is a comprehensive guide to help you understand and predict customer behaviors and create more effectively targeted and personalized marketing strategies. This is a practical guide to performing simple-to-advanced tasks, to extract hidden insights from the data and use them to make smart business decisions. You will understand what drives sales and increases customer engagements for your products. You will learn to implement machine learning to forecast which customers are more likely to engage with the products and have high lifetime value. This book will also show you how to use machine learning techniques to understand different customer segments and recommend the right products for each customer. Apart from learning to gain insights into consumer behavior using exploratory analysis, you will also learn the concept of A/B testing and implement it using Python and R. By the end of this book, you will be experienced enough with various data science and machine learning techniques to run and manage successful marketing campaigns for your business.
Table of Contents (20 chapters)
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1
Section 1: Introduction and Environment Setup
3
Section 2: Descriptive Versus Explanatory Analysis
7
Section 3: Product Visibility and Marketing
10
Section 4: Personalized Marketing
16
Section 5: Better Decision Making

Setting up the Python environment

Now that we have discussed some of the basics of data science and its applications to marketing, let's start getting our development environments ready for the upcoming chapters and projects. For those of you who will be using the R language for the exercises, you can skip this section and move to the Setting up the R environment section. For those of you who are planning to use the Python language for the exercises, it will be beneficial for you to follow these steps to install all the required Python packages and get your Python environment ready, even if you are already familiar with Python.

Installing the Anaconda distribution

For data science and machine learning tasks in this book...

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Programming languages
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Hands-On Data Science for Marketing
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