Applying Data Science: Business Case Studies Using SAS


Applying Data Science: Business Case Studies Using SAS
By 作者: Gerhard Svolba
ISBN-10 书号: 160764889X
ISBN-13 书号: 9781607648895
Release Finelybook 出版日期: 2017-03-29
Pages 页数: 490

The Book Description robot was collected from Amazon and arranged by Finelybook

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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