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Written for anyone involved in the data preparation process for analytics, Gerhard Svolba's Data Preparation for Analytics Using SAS offers;
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A step-by-step introduction to using SAS (R) statistical software as a foundational approach to data analysis and interpretation;
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analytics practices using SAS. It consists of three sections: basic SAS features, advanced data manipulation functions in SAS, and practical;
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analysis with SAS Who This Book Is For SAS professionals and data analysts who wish to perform analytics on Big Data using SAS to gain;
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Practical Business Analytics Using SAS: A Hands-on Guide shows SAS users and businesspeople how to analyze data effectively in real-life;
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This tutorial for data analysts new to SAS Enterprise Guide and SAS Enterprise Miner provides valuable experience using powerful;
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Text As Data: Combining qualitative and quantitative algorithms within the SAS system for accurate, effective and understandable text;
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This text highlights the difference between analytics and data science, using predictive analytic techniques to analyze different;
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See how data science can answer the questions your business faces! Applying Data Science: Business Case Studies Using SAS, by Gerhard;
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techniques using SAS and the R analytical language. This book is ideal for those who are well-versed in writing code and have a basic;
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in analytics thanks to its faster data handling and smaller learning curve. SAS for R Users enables entry-level data scientists to take advantage;
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set problems Use linear progression for data prediction Write programs in SAS Get introduced to SAS-Viya, which is more potent than SAS;
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analytics. It provides engaging and practical advice on using the key software tools, including SAS Visual Analytics, R and DataRobot, that are used;
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The aim of this textbook (previously titled SAS for Data Analytics) is to teach the use of SAS for statistical analysis of data for;
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Analysis: Practical Methods, Examples, and Case Studies Using SAS. This hands-on guide to text analytics using SAS provides detailed, step-by-step;
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-step instructions for using SAS macros and interpreting the results. Compiled data mining SAS macro files are available for download on the;
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models * Access working examples based on both real and simulated data * Learn useful code for implementing and validating models in SAS Despite;
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foundations, the practical implementation and programming using SAS. The book topics include: - Data acquisition - data preparation - EDA, predictive;
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This book introduces text analytics as a valuable method for deriving insights from text data. Unlike other text analytics publications;
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This book introduces text analytics as a valuable method for deriving insights from text data. Unlike other text analytics publications;
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The first cutting-edge guide to using the SAS(R) system for the analysis of econometric data Applied Econometrics Using the SAS(R) System;
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This book quickly teaches students the fundamentals of using the SAS system to manage and analyze research data. It is intended for;
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For decades researchers and programmers have used SAS to analyze, summarize, and report clinical trial data. Now Chris Holland and Jack;
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For decades researchers and programmers have used SAS to analyze, summarize, and report clinical trial data. Now Chris Holland and Jack;
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and cons of storing data in SAS. As you progress, you'll understand how to document and design extract-transform-load (ETL) protocols for SAS;
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