Téléchargez le livre : Predictive and Simulation Analytics

Predictive and Simulation Analytics

Deeper Insights for Better Business Decisions

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Éditeur :

Springer


Paru le : 2023-07-18



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Description

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.
Pages
370 pages
Collection
n.c
Parution
2023-07-18
Marque
Springer
EAN papier
9783031318863
EAN PDF
9783031318870
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
37
Taille du fichier
14592 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
68,56 €
EAN EPUB
9783031318870
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
37
Taille du fichier
68792 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
68,56 €

Walter R. Paczkowski earned his Ph.D. in Economics at Texas A&M University and has worked at AT&T's Analytical Support Center, Market Analysis and Forecasting Division, and Business Research Division.  He was also a Member of the Technical Staff at AT&T Bell Labs before founding Data Analytics Corp., a statistical consulting and data modeling company, in 2001.  Dr. Paczkowski is a part-time lecturer in the Department of Economics and the Department of Statistics at Rutgers University.  He published six books in, what he refers to as, his Analytics Series.  His latest are Business Analytics: Data Science for Business Problems (Springer, 2021) and Modern Survey Analysis: Using Python for Deeper Insights (Springer, 2022).

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