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Business analytics : data science for business problems / Walter R. Paczkowski.

3030870235 electronic book
9783030870232 (electronic bk.)
9783030870225
3030870227

Cham, Switzerland : Springer, [2021]

©2021

English

1 online resource (416 pages) : illustrations (chiefly color)

10.1007/978-3-030-87023-2 doi

HD30.23 .P33 2021

658.4033

This book focuses on three core knowledge requirements for effective and thorough data analysis for solving business problems. These are a foundational understanding of: 1. statistical, econometric, and machine learning techniques; 2. data handling capabilities; 3. at least one programming language. 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.

Description based upon print version of record.

Includes bibliographical references and index.

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Description based on online resource; title from digital title page (viewed on January 25, 2022).

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