Walter R. Paczkowski
Business Analytics: Data Science for Business Problems
Business Analytics: Data Science for Business Problems
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- More about Business Analytics: Data Science for Business Problems
This book provides a comprehensive guide to data analysis, covering statistical, econometric, and machine learning techniques, data handling capabilities, and programming languages. It offers practical insights with illustrative case studies and examples using Python in Jupyter notebooks. It is valuable for business data analysts, data scientists, market research professionals, and aspiring practitioners, and is also suitable for college and university courses and certifications in business data analytics, data science, and market research.
Format: Paperback / softback
Length: 387 pages
Publication date: 05 January 2023
Publisher: Springer Nature Switzerland AG
This comprehensive book delves into three essential knowledge requirements for effective and thorough data analysis in solving business problems. These core competencies encompass a solid foundation in statistical, econometric, and machine learning techniques, as well as proficiency in data handling capabilities and at least one programming language. With a practical focus, the volume provides illustrative case studies and examples using Python in the context of Jupyter notebooks. The diverse range of topics covered includes demand measurement and forecasting, predictive modeling, pricing analytics, customer satisfaction assessment, market and advertising research, and new product development and research. This invaluable resource is designed to cater to business data analysts, data scientists, market research professionals, and aspiring practitioners in the field of business data analytics. It is also highly relevant for colleges and universities offering courses and certifications in business data analytics, data science, and market research. By mastering these core knowledge requirements, readers will gain the skills and expertise necessary to extract valuable insights from data, drive decision-making, and propel their organizations toward success in today's data-driven world.
Weight: 652g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030870256
Edition number: 1st ed. 2021
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