Overview
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.
Full Product Details
Author: Gerhard Svolba
Publisher: SAS Institute
Imprint: SAS Institute
Dimensions:
Width: 21.00cm
, Height: 2.50cm
, Length: 27.90cm
Weight: 1.093kg
ISBN: 9781607648895
ISBN 10: 160764889
Pages: 490
Publication Date: 29 March 2017
Audience:
General/trade
,
General
Format: Paperback
Publisher's Status: Active
Availability: Available To Order
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Reviews
"""The book perfectly combines data science methods with relevant business case studies, providing insights into how applications of data science can build the basis for better business decisions.. . . It can be read by business experts, data scientists, and SAS programmers."" -- Wolfgang Hauner, Chief Data Officer ""Munich Re"""
The book perfectly combines data science methods with relevant business case studies, providing insights into how applications of data science can build the basis for better business decisions.. . . It can be read by business experts, data scientists, and SAS programmers. -- Wolfgang Hauner, Chief Data Officer Munich Re
Author Information
"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."""
