- English
- ePUB (mobile friendly)
- Available on iOS & Android
About this book
Unlock the Power of Data: Transform Your Marketing Strategies with Data Science
In the digital age, understanding the symbiosis between marketing and data science is not just an advantage; it's a necessity. In Mastering Marketing Data Science: A Comprehensive Guide for Today's Marketers, Dr. Iain Brown, a leading expert in data science and marketing analytics, offers a comprehensive journey through the cutting-edge methodologies and applications that are defining the future of marketing. This book bridges the gap between theoretical data science concepts and their practical applications in marketing, providing readers with the tools and insights needed to elevate their strategies in a data-driven world. Whether you're a master's student, a marketing professional, or a data scientist keen on applying your skills in a marketing context, this guide will empower you with a deep understanding of marketing data science principles and the competence to apply these principles effectively.
- Comprehensive Coverage: From data collection to predictive analytics, NLP, and beyond, explore every facet of marketing data science.
- Practical Applications: Engage with real-world examples, hands-on exercises in both Python & SAS, and actionable insights to apply in your marketing campaigns.
- Expert Guidance: Benefit from Dr. Iain Brown's decade of experience as he shares cutting-edge techniques and ethical considerations in marketing data science.
- Future-Ready Skills: Learn about the latest advancements, including generative AI, to stay ahead in the rapidly evolving marketing landscape.
- Accessible Learning: Tailored for both beginners and seasoned professionals, this book ensures a smooth learning curve with a clear, engaging narrative.
Mastering Marketing Data Science is designed as a comprehensive how-to guide, weaving together theory and practice to offer a dynamic, workbook-style learning experience. Dr. Brown's voice and expertise guide you through the complexities of marketing data science, making sophisticated concepts accessible and actionable.
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Information
Table of contents
- Cover
- Table of Contents
- Wiley and SAS Business Series
- Title Page
- Copyright
- Preface
- Acknowledgments
- About the Author
- CHAPTER 1: Introduction to Marketing Data Science
- CHAPTER 2: Data Collection and Preparation
- CHAPTER 3: Descriptive Analytics in Marketing
- CHAPTER 4: Inferential Analytics and Hypothesis Testing
- CHAPTER 5: Predictive Analytics and Machine Learning
- CHAPTER 6: Natural Language Processing in Marketing
- CHAPTER 7: Social Media Analytics and Web Analytics
- CHAPTER 8: Marketing Mix Modeling and Attribution
- CHAPTER 9: Customer Journey Analytics
- CHAPTER 10: Experimental Design in Marketing
- CHAPTER 11: Big Data Technologies and Real-Time Analytics
- CHAPTER 12: Generative Artificial Intelligence and Its Applications in Marketing
- CHAPTER 13: Ethics, Privacy, and the Future of Marketing Data Science
- About the Website
- Index
- End User License Agreement