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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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the Clinical Data Interchange Standards Consortium (CDISC) standards. Implementing CDISC Using SAS: An End-to-End Guide, Second Edition, is an;
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the Clinical Data Interchange Standards Consortium (CDISC) standards. Implementing CDISC Using SAS: An End-to-End Guide, Second Edition, is an;
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tasks. SAS Programming with Medicare Administrative Data offers beginners a programming project template to follow from beginning to end. It;
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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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Analyzing Health Data in R for SAS Users is aimed at helping health data analysts who use SAS accomplish some of the same tasks in R. It;
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using SAS and become well-versed in SAS programming Work with different data structures, and run SQL queries to manipulate your data Explore;
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Do you want to create data analysis reports without writing a line of code? This book introduces SAS Studio, a free data science web;
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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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serving up data using SAS and explore how connecting SAS to other systems can enhance the data warehouse user's experience. By the end of this;
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end-to-end data science processes using various inbuilt services and features. Hands-On Data Science with SQL Server 2017 starts with an;
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Cloud Platform (GCP). This hands-on guide shows data engineers and data scientists how to implement an end-to-end data pipeline with cloud;
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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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Who This Book Is For Data Scientists looking to deploy end-to-end solutions on Azure with latest tools and techniques.;
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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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Who This Book Is For Data Scientists looking to deploy end-to-end solutions on Azure with latest tools and techniques.;
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SAS code to enhance the capabilities of SAS Enterprise Guide. Designed to help you gain extra value from the products you already have, SAS;
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of great interest to people who aspire to work with data, people who already work with data, and people who work with people who work with data;
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of data. It is estimated that there are three million or more SAS users worldwide today. As the data science landscape shifts from using SAS to;
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of results and their connection with other (external) software tools. SAS allows business users to find relationships in data, by structuring and;
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of daily use cases will walk you through the end-to-end predictive model-building cycle with the latest techniques and tricks of the trade;
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of daily use cases will walk you through the end-to-end predictive model-building cycle with the latest techniques and tricks of the trade. Applied;
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logistic regression and random forest. Now in its second edition, this book will take you through the end-to-end process of exploring data and;
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practitioners. As the first book devoted to simulating data across a range of statistical applications, Simulating Data with SAS is an essential tool;
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data, and descriptions are organized in summary tables to facilitate better memory recall. General rules list common points about similar;
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