{"product_id":"9781484200438","title":"Practical Business Analytics Using SAS: A Hands-on Guide","description":"\u003cp\u003e\u003cem\u003ePractical Business Analytics Using SAS: A Hands-on Guide\u003c\/em\u003e shows SAS users and businesspeople how to analyze data effectively in real-life business scenarios. \u003c\/p\u003e\u003cp\u003eThe book begins with an introduction to analytics, analytical tools, and SAS programming. The authors—both SAS, statistics, analytics, and big data experts—first show how SAS is used in business, and then how to get started programming in SAS by importing data and learning how to manipulate it. Besides illustrating SAS basic functions, you will see how each function can be used to get the information you need to improve business performance. Each chapter offers hands-on exercises drawn from real business situations. \u003c\/p\u003e\u003cp\u003eThe book then provides an overview of statistics, as well as instruction on exploring data, preparing it for analysis, and testing hypotheses. You will learn how to use SAS to perform analytics and model using both basic and advanced techniques like multiple regression, logistic regression, and time series analysis, among other topics. The book concludes with a chapter on analyzing big data. Illustrations from banking and other industries make the principles and methods come to life.\u003c\/p\u003e\u003cp\u003eReaders will find just enough theory to understand the practical examples and case studies, which cover all industries. Written for a corporate IT and programming audience that wants to upgrade skills or enter the analytics field, this book includes:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eMore than 200 examples and exercises, including code and datasets for practice. \u003c\/li\u003e\n\u003cli\u003eRelevant examples for all industries.\u003c\/li\u003e\n\u003cli\u003eCase studies that show how to use SAS analytics to identify opportunities, solve complicated problems, and chart a course.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cem\u003ePractical Business Analytics Using SAS: A Hands-on Guide \u003c\/em\u003egives you the tools you need to gain insight into the data at your fingertips, predict business conditions for better planning, and make excellent decisions. Whether you are in retail, finance, healthcare, manufacturing, government, or any other industry, this book will help your organization increase revenue, drive down costs, improve marketing, and satisfy customers better than ever before. \u003c\/p\u003eWhat you’ll learn\u003cul\u003e\n\u003cli\u003eWhich are the most important tools for performing analytics\u003c\/li\u003e\n\u003cli\u003eHow to program in SAS\u003c\/li\u003e\n\u003cli\u003eHow to explore, validate, and clean data\u003c\/li\u003e\n\u003cli\u003eHow to understand and use basic statistical methods and techniques\u003c\/li\u003e\n\u003cli\u003eHow to forecast future value using SAS\u003c\/li\u003e\n\u003cli\u003eHow to build predictive models\u003c\/li\u003e\n\u003cli\u003eFundamentals of big data\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eWho this book is for      \u003cp\u003e     \u003c\/p\u003e\u003cp\u003eThis book is for IT Professionals who want to become business or data analysts, predictive modelers, data scientists, social media analysts, big data analysts, or BI analysts. It's also for anyone who wants to break into data analytics or professionals who want to expand their skills.\u003c\/p\u003e           Table of Contents\u003cp\u003ePart One: Basics of SAS Programming for Analytics\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eChapter 01 Introduction to Business Analytics and Data Analysis Tools\u003c\/p\u003e\u003cp\u003eChapter 02: SAS Introduction\u003c\/p\u003e\u003cp\u003eChapter 03: SAS Handling Using SAS\u003c\/p\u003e\u003cp\u003eChapter 04 : Important SAS Functions and Procs\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003ePart Two: Using SAS for Business Analytics\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eChapter 05 Introduction to Statistical Analysis\u003c\/p\u003e\u003cp\u003eChapter 06 Basic Descriptive Statistics\u003c\/p\u003e\u003cp\u003eChapter 07 Data Exploration, Validation, and Data Sanitization\u003c\/p\u003e\u003cp\u003eChapter 08 Testing of Hypothesis\u003c\/p\u003e\u003cp\u003eChapter 09 Correlation and Linear Regression\u003c\/p\u003e\u003cp\u003eChapter 10 Multiple Regression Analysis\u003c\/p\u003e\u003cp\u003eChapter 11: Logistic Regression\u003c\/p\u003e\u003cp\u003eChapter 12: Time Series Analysis and Forecasting\u003c\/p\u003e\u003cp\u003eChapter 13: Introducing Big Data Analytics\u003c\/p\u003e","brand":"Apress","offers":[{"title":"Default Title","offer_id":47126550053104,"sku":"9781484200438","price":47.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781484200438_p0.jpg?v=1763631908","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781484200438","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}