Applying Data Science : Business Case Studies Using SAS (PDF)

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English | 2017 | ISBN: 160764889X | 489 Pages | PDF

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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关键词：Data Science Applying Business Science Studies

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本文来自: 人大经济论坛 SAS上传下载区 版，详细出处参考： https://bbs.pinggu.org/forum.php?mod=viewthread&tid=6604892&page=1&from^^uid=6046017好东西，感谢分享
本文来自: 人大经济论坛 SAS上传下载区 版，详细出处参考： https://bbs.pinggu.org/forum.php?mod=viewthread&tid=6604892&page=1&from^^uid=6046017

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Applying Data Science : Business Case Studies Using SAS

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