
Data Science for Sensory and Consumer Scientists
- 332 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Data Science for Sensory and Consumer Scientists
About this book
Data Science for Sensory and Consumer Scientists is a comprehensive textbook that provides a practical guide to using data science in the field of sensory and consumer science through real-world applications. It covers key topics including data manipulation, preparation, visualization, and analysis, as well as automated reporting, machine learning, text analysis, and dashboard creation. Written by leading experts in the field, this book is an essential resource for anyone looking to master the tools and techniques of data science and apply them to the study of consumer behavior and sensory-led product development. Whether you are a seasoned professional or a student just starting out, this book is the ideal guide to using data science to drive insights and inform decision-making in the sensory and consumer sciences.
Key Features:
• Elucidation of data scientific workflow.
• Introduction to reproducible research.
• In-depth coverage of data-scientific topics germane to sensory and consumer science.
• Examples based in industrial practice used throughout the book
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Information
Table of contents
- Cover Page
- Half Title Page
- Series Page
- Title Page
- Copyright Page
- Dedication
- Contents
- Preface
- About the Authors
- 1. Bienvenue!
- 2. Getting Started
- 3. Why Data Science?
- 4. Data Manipulation
- 5. Data Visualization
- 6. Automated Reporting
- 7. Example Project: The Biscuit Study
- 8. Data Collection
- 9. Data Preparation
- 10. Data Analysis
- 11. Value Delivery
- 12. Machine Learning
- 13. Text Analysis
- 14. Dashboards
- 15. Conclusion and Next Steps
- Bibliography
- Index