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SAS Text Analytics for Business Applications

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Practical Business Analytics Using SAS

sources. SAS performs statistical analysis and provides a graphical point-and-click user interface for non-technical users. It also offers more;

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Practical Business Analytics Using SAS

overview of statistics, as well as instruction on exploring data, preparing it for analysis, and testing hypotheses. You will learn how to use SAS;

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Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner

This tutorial for data analysts new to SAS Enterprise Guide and SAS Enterprise Miner provides valuable experience using powerful;

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Data Preparation for Analytics Using SAS

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

Text As Data: Combining qualitative and quantitative algorithms within the SAS system for accurate, effective and understandable text;

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Text Mining and Analysis

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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Data Mining For Business Analytics

Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro(R) presents an applied and interactive approach to;

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SAS for R Users

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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Harnessing the Power of Analytics

This text highlights the difference between analytics and data science, using predictive analytic techniques to analyze different;

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SAS Essentials

Presenting a straightforward introduction from the ground up, SAS (R) Essentials: Mastering SAS for Data Analytics, Second Edition illustrates SAS;

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SAS Visual Analytics for SAS Viya

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Applying Data Science

clustering, and much more! Written for business analysts, statisticians, data miners, data scientists, and SAS programmers, Applying Data Science;

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Business Analytics

management perspective on analytics and its coverage of a range of popular software tools, this is an ideal essential text for upper-level;

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Getting Started with Business Analytics

for integrating business with analytics. The second part presents the technologies underlying business analytics: data mining and data;

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Big Data Analytics with SAS

HANA, and Cloud Foundry-based platforms for effecient Big Data analytics * Learn how to use the web browser-based SAS Studio and iPython;

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Applying Predictive Analytics

The new edition of this textbook presents a practical, updated approach to predictive analytics for classroom learning. The authors focus;

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Applied Analytics through Case Studies Using SAS and R

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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Data Mining for Business Analytics

Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and;

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Big Data Analytics

algorithm Market basket analysis Anticipating consumer purchase behavior Variation in shopping patterns Big data analytics for market;

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Big Data Analytics

algorithm Market basket analysis Anticipating consumer purchase behavior Variation in shopping patterns Big data analytics for market;

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Business Analytics for Decision Making

Business Analytics for Decision Making, the first complete text suitable for use in introductory Business Analytics courses, establishes a;

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Data Mining for Business Analytics

Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts;

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Big Data, Mining, and Analytics

approaches for decision making, including dashboards, OLAP cubes, data mining, and text mining. Includes a foreword by Thomas H. Davenport;

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Big Data, Mining, and Analytics

approaches for decision making, including dashboards, OLAP cubes, data mining, and text mining. Includes a foreword by Thomas H. Davenport;

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Business Analytics, Volume II

This business analytics (BA) text discusses the models based on fact-based data to measure past business performance to guide an;

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Analytics and Data Science

for practice. Selected chapters provide a good balance between discussing research advances and pedagogical tools in key topic areas;

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