Hands-On Data Science for Marketing
This book will be an excellent resource for both Python and R developers and will help them apply data science and machine learning to marketing with real-world data sets. By the end of this book, you will be well equipped with the required knowledge and expertise to draw insights from data and improve your marketing strategies.
Offered by
Difficulty Level
Intermediate
Completion Time
15h28m
Language
English
About Book
Who Is This Book For?
If you are a marketing professional, data scientist, engineer, or a student keen to learn how to apply data science to marketing, this book is what you need! It will be beneficial to have some basic knowledge of either Python or R to work through the examples. This book will also be beneficial for beginners as it covers basic-to-advanced data science concepts and applications in marketing with real-life examples.
Hands-On Data Science for Marketing
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 15h28m total length
Data Science and Marketing
Key Performance Indicators and Visualizations
Drivers behind Marketing Engagement
From Engagement to Conversion
Product Analytics
Recommending the Right Products
Exploratory Analysis for Customer Behavior
Predicting the Likelihood of Marketing Engagement
Customer Lifetime Value
Data-Driven Customer Segmentation
Retaining Customers
A/B Testing for Better Marketing Strategy
What’s Next?
Related Resources
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