Practical business analytics using SAS: a hands-on guide

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Автор: Konasani, Venkat Reddy; Kadre, Shailendra

Название: Practical business analytics using SAS: a hands-on guide

Язык: английский

Издательство: Berkeley, CA: Apress

Год: 2015

Объем: 580 p.

Формат: pdf

Размер: 19,2 mb

Shailendra Kadre is a senior IT and management consultant from Bangalore, India. He is the author of a 2011 Apress book, Going Corporate: A Geek’s Guide, which covers IT operations management and the business aspects of IT. He has more than 20 years of experience in manufacturing, IT delivery and operations, program management, pre-sales, enterprise sales, and business analytics. Currently, he is working with Hewlett-Packard India as a solutions consultant. His current interests include business analytics and enterprise printing solutions.

Venkat Reddy is a post graduate in applied statistics and informatics technology from the Indian Institute of Technology (IIT ) Mumbai. He has more than 8 years' experience in Big Data analytics and several analytics software programs and tools including SAS and R. His major areas of expertise include credit risk model building, customer experience management, social media analytics, machine learning, NLP, text mining, and big data analytics.

The 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.

The 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.

Readers 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:

More than 200 examples and exercises, including code and datasets for practice.

Relevant examples for all industries.

Case studies that show how to use SAS analytics to identify opportunities, solve complicated problems, and chart a course.

Practical Business Analytics Using SAS: A Hands-on Guide gives 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.

What you’ll learn?

Which are the most important tools for performing analytics

How to program in SAS

How to explore, validate, and clean data

How to understand and use basic statistical methods and techniques

How to forecast future value using SAS

How to build predictive models

Fundamentals of big data

Who this book is for?

This 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.

Table of Contents

Part One: Basics of SAS Programming for Analytics

Chapter 01 Introduction to Business Analytics and Data Analysis Tools

Chapter 02: SAS Introduction

Chapter 03: SAS Handling Using SAS

Chapter 04 : Important SAS Functions and Procs

Part Two: Using SAS for Business Analytics

Chapter 05 Introduction to Statistical Analysis

Chapter 06 Basic Descriptive Statistics

Chapter 07 Data Exploration, Validation, and Data Sanitization

Chapter 08 Testing of Hypothesis

Chapter 09 Correlation and Linear Regression

Chapter 10 Multiple Regression Analysis

Chapter 11: Logistic Regression

Chapter 12: Time Series Analysis and Forecasting

Chapter 13: Introducing Big Data Analytics

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