Data Quality for Analytics Using SAS, Svolba Gerhard
Автор: Svolba Gerhard Название: Applying Data Science: Business Case Studies Using SAS ISBN: 160764889X ISBN-13(EAN): 9781607648895 Издательство: Неизвестно Цена: 98030.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Svolba, Gerhard Название: Data preparation for analytics using sas ISBN: 1599940477 ISBN-13(EAN): 9781599940472 Издательство: Неизвестно Рейтинг: Цена: 116420.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: 1642953415 ISBN-13(EAN): 9781642953411 Издательство: Неизвестно Рейтинг: Цена: 127450.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Svolba Gerhard Название: Data Preparation for Analytics Using SAS ISBN: 1642953113 ISBN-13(EAN): 9781642953114 Издательство: Неизвестно Рейтинг: Цена: 150750.00 T Наличие на складе: Невозможна поставка. 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
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