Applying Data Science: Business Case Studies Using SAS - Couverture souple

Svolba Ph.D., Gerhard

 
9781607648895: Applying Data Science: Business Case Studies Using SAS
Couverture souple
ISBN 10 : 160764889X ISBN 13 : 9781607648895
Editeur : SAS Institute, 2017

Synopsis

See how data science can answer the questions your business faces!

Applying Data Science: Business Case Studies Using SAS, by Gerhard Svolba, shows you the benefits of analytics, how to gain more insight into your data, and how to make better decisions. In eight entertaining and real-world case studies, Svolba combines data science and advanced analytics with business questions, illustrating them with data and SAS code.

The case studies range from a variety of fields, including performing headcount survival analysis for employee retention, forecasting the demand for new projects, using Monte Carlo simulation to understand outcome distribution, among other topics. The data science methods covered include Kaplan-Meier estimates, Cox Proportional Hazard Regression, ARIMA models, Poisson regression, imputation of missing values, variable clustering, and much more!

Written for business analysts, statisticians, data miners, data scientists, and SAS programmers, Applying Data Science bridges the gap between high-level, business-focused books that skimp on the details and technical books that only show SAS code with no business context.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l'auteur

Dr. Gerhard Svolba is a senior solutions architect and analytic expert at SAS Institute Inc. in Austria, where he specializes in analytics in different business and research domains. His project experience ranges from business and technical conceptual considerations to data preparation and analytic modeling across industries. He is the author of Data Preparation for Analytics Using SAS and teaches a SAS training course called "Building Analytic Data Marts."

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
SAS Institute
Date d'édition
2017
Langue
anglais
ISBN 10 
160764889X
ISBN 13 
9781607648895
Reliure
Broché
Nombre de pages
490
Coordonnées du fabricant
non disponible
Personne responsable
non disponible

Autres éditions populaires du même titre

9781642953411: Applying Data Science: Business Case Studies Using SAS

Edition présentée

ISBN 10 :  1642953415 ISBN 13 :  9781642953411
Editeur : SAS Institute, 2019
Couverture rigide