Data preparation for analytics using sas, Svolba, Gerhard

Автор: Svolba Gerhard
Название: Data Quality for Analytics Using SAS
ISBN: 1642953121 ISBN-13(EAN): 9781642953121
Издательство: Неизвестно
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Цена: 112740.00 T
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Описание: Analytics offers many capabilities and options to measure and improve data quality, and SAS is perfectly suited to these tasks. Gerhard Svolba's Data Quality for Analytics Using SAS focuses on selecting the right data sources and ensuring data quantity, relevancy, and completeness. The book is made up of three parts. The first part, which is conceptual, defines data quality and contains text, definitions, explanations, and examples. The second part shows how the data quality status can be profiled and the ways that data quality can be improved with analytical methods. The final part details the consequences of poor data quality for predictive modeling and time series forecasting.

With this book you will learn how you can use SAS to perform advanced profiling of data quality status and how SAS can help improve your data quality.

Автор: Svolba Gerhard
Название: Data Preparation for Analytics Using SAS
ISBN: 1642953113 ISBN-13(EAN): 9781642953114
Издательство: Неизвестно
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Цена: 150750.00 T
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Описание: Written for anyone involved in the data preparation process for analytics, Gerhard Svolba's Data Preparation for Analytics Using SAS offers practical advice in the form of SAS coding tips and tricks, and provides the reader with a conceptual background on data structures and considerations from a business point of view. The tasks addressed include viewing analytic data preparation in the context of its business environment, identifying the specifics of predictive modeling for data mart creation, understanding the concepts and considerations of data preparation for time series analysis, using various SAS procedures and SAS Enterprise Miner for scoring, creating meaningful derived variables for all data mart types, using powerful SAS macros to make changes among the various data mart structures, and more

Автор: Svolba Gerhard
Название: Applying Data Science: Business Case Studies Using SAS
ISBN: 160764889X ISBN-13(EAN): 9781607648895
Издательство: Неизвестно
Цена: 98030.00 T
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Автор: Svolba Gerhard
Название: Applying Data Science: Business Case Studies Using SAS
ISBN: 1642953415 ISBN-13(EAN): 9781642953411
Издательство: Неизвестно
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Цена: 127450.00 T
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Описание: 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.