Predictive and Simulation Analytics
Author | : Walter R. Paczkowski |
Publisher | : Springer Nature |
Total Pages | : 381 |
Release | : 2023-07-18 |
ISBN-10 | : 9783031318870 |
ISBN-13 | : 3031318870 |
Rating | : 4/5 (870 Downloads) |
Download or read book Predictive and Simulation Analytics written by Walter R. Paczkowski and published by Springer Nature. This book was released on 2023-07-18 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book connects predictive analytics and simulation analytics, with the end goal of providing Rich Information to stakeholders in complex systems to direct data-driven decisions. Readers will explore methods for extracting information from data, work with simple and complex systems, and meld multiple forms of analytics for a more nuanced understanding of data science. The methods can be readily applied to business problems such as demand measurement and forecasting, predictive modeling, pricing analytics including elasticity estimation, customer satisfaction assessment, market research, new product development, and more. The book includes Python examples in Jupyter notebooks, available at the book's affiliated Github. This volume is intended for current and aspiring business data analysts, data scientists, and market research professionals, in both the private and public sectors.