Data Science for Marketing Analytics, 2nd Edition - PDF, ePUB
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Unleash the power of data to reach your marketing goals with this practical guide to data science for business.
This book will help you get started on your journey to becoming a master of marketing analytics with Python. You'll work with relevant datasets and build your practical skills by tackling engaging exercises and activities that simulate real-world market analysis projects.
You'll learn to think like a data scientist, build your problem-solving skills, and discover how to look at data in new ways to deliver business insights and make intelligent data-driven decisions.
As well as learning how to clean, explore, and visualize data, you'll implement machine learning algorithms and build models to make predictions. As you work through the book, you'll use Python tools to analyze sales, visualize advertising data, predict revenue, address customer churn, and implement customer segmentation to understand behavior.
This second edition has been updated to include new case studies that bring a more application-oriented approach to your marketing analytics journey. The code has also been updated to support the latest versions of Python and the popular data science libraries that have been used in the book. The practical exercises and activities have been revamped to prepare you for the real-world problems that marketing analysts need to solve. This will show you how to create a measurable impact on businesses large and small.
By the end of this book, you'll have the knowledge, skills, and confidence to implement data science and machine learning techniques to better understand your marketing data and improve your decision-making.
Who This Book Is 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 is required to work through the exercises and activities provided in this book.
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