Applying Data Science: Business Case Studies Using SAS - Tapa blanda

Svolba Ph.D., Gerhard

 
9781607648895: Applying Data Science: Business Case Studies Using SAS

Sinopsis

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.

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Acerca del autor

Gerhard Svolba, Ph.D. is a product manager and pre-sales consultant at SAS Institute Inc. in Austria, where he specializes in Analytics and customer intelligence. His project experience ranges from conceptual considerations (both business and technical) to data preparation and analytic modeling.

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Otras ediciones populares con el mismo título

9781642953411: Applying Data Science: Business Case Studies Using SAS

Edición Destacada

ISBN 10:  1642953415 ISBN 13:  9781642953411
Editorial: SAS Institute, 2019
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