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Harnessing the Power of Analytics

the steps ahead. The book combines the conceptual perspective and a hands-on approach to predictive analytics using SAS VIYA, an analytic and;

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Learn Data Science Using SAS Studio

Viya, SAS Analytics, and SAS Visual Statistics. What You Will Learn Become familiar with SAS Studio IDE Understand;

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Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner

business and statistics, lack the know-how to perform business analytics with advanced statistical software. Business Analytics Using SAS;

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Practical Business Analytics Using SAS

analytics with linear regression, SAS programs for repetitive analysis, presentation of output results in proper format, as well as interpretation;

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Customer Segmentation and Clustering Using SAS Enterprise Miner, Third Edition

data, and incorporating textual records into your predictive model with SAS Text Miner. Finally, part 4 takes segmentation to a new level with;

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Practical Business Analytics Using SAS

business scenarios. The book begins with an introduction to analytics, analytical tools, and SAS programming. The authors-both SAS, statistics;

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Data Preparation for Analytics Using SAS

practical advice in the form of SAS coding tips and tricks, and provides the reader with a conceptual background on data structures and;

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Big Data Analytics with SAS

Leverage the capabilities of SAS to process and analyze Big Data About This Book * Combine SAS with platforms such as Hadoop, SAP;

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Text as Data - Computational Methods of Understanding Written Expression Using SAS

integrating quantitative data and textual analysis with advanced computer learning principles, the authors demonstrate the combined advantages of SAS;

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SAS for R Users

of the best aspects of both tools by providing a cross-functional framework for users who already know R but may need to work with SAS. Those;

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SAS Essentials

A step-by-step introduction to using SAS (R) statistical software as a foundational approach to data analysis and interpretation;

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Applying Data Science

real-world case studies, Svolba combines data science and advanced analytics with business questions, illustrating them with data and SAS code;

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Segmentation, Revenue Management and Pricing Analytics

increasingly important in industries as diverse as retail, telecommunications, banking, health care and manufacturing. Segmentation, Revenue Management;

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Credit Risk Scorecards

foundations, the practical implementation and programming using SAS. The book topics include: - Data acquisition - data preparation - EDA, predictive;

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Einde inhoud

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