Data Science for Marketing Analytics
This book on marketing analytics with Python will quickly get you up and running using practical data science and machine learning to improve your approach to marketing. You'll learn how to analyze sales, understand customer data, predict outcomes, and present conclusions with clear visualizations.
Offered by
Difficulty Level
Intermediate
Completion Time
21h12m
Language
English
About Book
Who Is This Book For?
This marketing book is for anyone who wants to learn how to use Python for cutting-edge marketing analytics. Whether you're a developer who wants to move into marketing, or a marketing analyst who wants to learn more sophisticated tools and techniques, this book will get you on the right path. Basic prior knowledge of Python and experience working with data will help you access this book more easily.
Data Science for Marketing Analytics
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 21h12m total length
Data Preparation and Cleaning
Data Exploration and Visualization
Unsupervised Learning and Customer Segmentation
Evaluating and Choosing the Best Segmentation Approach
Predicting Customer Revenue Using Linear Regression
More Tools and Techniques for Evaluating Regression Models
Supervised Learning: Predicting Customer Churn
Fine Tuning Classification Algorithms
Multiclass Classification Algorithms
Related Resources
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