English | 2022 | ISBN: 3030870227 | 425 Pages | PDF EPUB | 102 MB
Practical in orientation, the volume offers illustrative case studies throughout and examples using Python in the context of Jupyter notebooks.
Covered topics include demand measurement and forecasting, predictive modeling, pricing analytics, customer satisfaction assessment, market and advertising research, and new product development and research. This volume will be useful to business data analysts, data scientists, and market research professionals, as well as aspiring practitioners in business data analytics. It can also be used in colleges and universities offering courses and certifications in business data analytics, data science, and market research.
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