Applied Analytics Through Case Studies Using Sas And R

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Applied Analytics through Case Studies Using SAS and R

Deepti Gupta
Applied Analytics through Case Studies Using SAS and R Book PDF

Author : Deepti Gupta
Publisher : Apress
Page : 415 pages
File Size : 43,5 Mb
Release : 2018-08-03
Category : Computers
ISBN : 9781484235256

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Applied Analytics through Case Studies Using SAS and R by Deepti Gupta Pdf

Examine business problems and use a practical analytical approach to solve them by implementing predictive models and machine learning 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 understanding of statistics, but have limited experience in implementing predictive models and machine learning techniques for analyzing real world data. The most challenging part of solving industrial business problems is the practical and hands-on knowledge of building and deploying advanced predictive models and machine learning algorithms. Applied Analytics through Case Studies Using SAS and R is your answer to solving these business problems by sharpening your analytical skills. What You'll Learn Understand analytics and basic data concepts Use an analytical approach to solve Industrial business problems Build predictive model with machine learning techniques Create and apply analytical strategies Who This Book Is For Data scientists, developers, statisticians, engineers, and research students with a great theoretical understanding of data and statistics who would like to enhance their skills by getting practical exposure in data modeling.

Applying Data Science

Gerhard Svolba
Applying Data Science Book PDF

Author : Gerhard Svolba
Publisher : SAS Institute
Page : 490 pages
File Size : 42,7 Mb
Release : 2017-03-29
Category : Computers
ISBN : 9781635260564

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Applying Data Science by Gerhard Svolba Pdf

See how data science can answer the questions your business faces! Applying Data Science: Business Case Studies Using SAS, by Gerhard Svolba, shows you the benefits of analytics, how to gain more insight into your data, and how to make better decisions. In eight entertaining and real-world case studies, Svolba combines data science and advanced analytics with business questions, illustrating them with data and SAS code. The case studies range from a variety of fields, including performing headcount survival analysis for employee retention, forecasting the demand for new projects, using Monte Carlo simulation to understand outcome distribution, among other topics. The data science methods covered include Kaplan-Meier estimates, Cox Proportional Hazard Regression, ARIMA models, Poisson regression, imputation of missing values, variable clustering, and much more! Written for business analysts, statisticians, data miners, data scientists, and SAS programmers, Applying Data Science bridges the gap between high-level, business-focused books that skimp on the details and technical books that only show SAS code with no business context.

Learn Business Analytics in Six Steps Using SAS and R

Subhashini Sharma Tripathi
Learn Business Analytics in Six Steps Using SAS and R Book PDF

Author : Subhashini Sharma Tripathi
Publisher : Apress
Page : 226 pages
File Size : 40,8 Mb
Release : 2016-12-19
Category : Computers
ISBN : 9781484210017

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Learn Business Analytics in Six Steps Using SAS and R by Subhashini Sharma Tripathi Pdf

Apply analytics to business problems using two very popular software tools, SAS and R. No matter your industry, this book will provide you with the knowledge and insights you and your business partners need to make better decisions faster. Learn Business Analytics in Six Steps Using SAS and R teaches you how to solve problems and execute projects through the "DCOVA and I" (Define, Collect, Organize, Visualize, Analyze, and Insights) process. You no longer need to choose between the two most popular software tools. This book puts the best of both worlds—SAS and R—at your fingertips to solve a myriad of problems, whether relating to data science, finance, web usage, product development, or any other business discipline. What You'll Learn Use the DCOVA and I process: Define, Collect, Organize, Visualize, Analyze and Insights. Harness both SAS and R, the star analytics technologies in the industry Use various tools to solve significant business challenges Understand how the tools relate to business analytics See seven case studies for hands-on practice Who This Book Is For This book is for all IT professionals, especially data analysts, as well as anyone who Likes to solve business problems and is good with logical thinking and numbers Wants to enter the analytics world and is looking for a structured book to reach that goal Is currently working on SAS , R, or any other analytics software and strives to use its full power

Practical Business Analytics Using SAS

Shailendra Kadre,Venkat Reddy Konasani
Practical Business Analytics Using SAS Book PDF

Author : Shailendra Kadre,Venkat Reddy Konasani
Publisher : Apress
Page : 565 pages
File Size : 42,9 Mb
Release : 2015-02-07
Category : Computers
ISBN : 9781484200438

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Practical Business Analytics Using SAS by Shailendra Kadre,Venkat Reddy Konasani Pdf

Practical Business Analytics Using SAS: A Hands-on Guide shows SAS users and businesspeople how to analyze data effectively in real-life business scenarios. 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.

Text Mining and Analysis

Dr. Goutam Chakraborty,Murali Pagolu,Satish Garla
Text Mining and Analysis Book PDF

Author : Dr. Goutam Chakraborty,Murali Pagolu,Satish Garla
Publisher : SAS Institute
Page : 340 pages
File Size : 49,7 Mb
Release : 2014-11-22
Category : Computers
ISBN : 9781612907871

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Text Mining and Analysis by Dr. Goutam Chakraborty,Murali Pagolu,Satish Garla Pdf

Big data: It's unstructured, it's coming at you fast, and there's lots of it. In fact, the majority of big data is text-oriented, thanks to the proliferation of online sources such as blogs, emails, and social media. However, having big data means little if you can't leverage it with analytics. Now you can explore the large volumes of unstructured text data that your organization has collected with Text Mining and Analysis: Practical Methods, Examples, and Case Studies Using SAS. This hands-on guide to text analytics using SAS provides detailed, step-by-step instructions and explanations on how to mine your text data for valuable insight. Through its comprehensive approach, you'll learn not just how to analyze your data, but how to collect, cleanse, organize, categorize, explore, and interpret it as well. Text Mining and Analysis also features an extensive set of case studies, so you can see examples of how the applications work with real-world data from a variety of industries. Text analytics enables you to gain insights about your customers' behaviors and sentiments. Leverage your organization's text data, and use those insights for making better business decisions with Text Mining and Analysis. This book is part of the SAS Press program.

Supply Chain Analytics and Modelling

Nicoleta Tipi
Supply Chain Analytics and Modelling Book PDF

Author : Nicoleta Tipi
Publisher : Kogan Page Publishers
Page : 329 pages
File Size : 42,5 Mb
Release : 2021-04-03
Category : Technology & Engineering
ISBN : 9780749498610

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Supply Chain Analytics and Modelling by Nicoleta Tipi Pdf

An incredible volume of data is generated at a very high speed within the supply chain and it is necessary to understand, use and effectively apply the knowledge learned from analyzing data using intelligent business models. However, practitioners and students in the field of supply chain management face a number of challenges when dealing with business models and mathematical modelling. Supply Chain Analytics and Modelling presents a range of business analytics models used within the supply chain to help readers develop knowledge on a variety of topics to overcome common issues. Supply Chain Analytics and Modelling covers areas including supply chain planning, single and multi-objective optimization, demand forecasting, product allocations, end-to-end supply chain simulation, vehicle routing and scheduling models. Learning is supported by case studies of specialist software packages for each example. Readers will also be provided with a critical view on how supply chain management performance measurement systems have been developed and supported by reliable and accurate data available in the supply chain. Online resources including lecturer slides are available.

Proceedings on 18th International Conference on Industrial Systems – IS’20

Bojan Lalic,Danijela Gracanin,Nemanja Tasic,Nenad Simeunović
Proceedings on 18th International Conference on Industrial Systems IS 20 Book PDF

Author : Bojan Lalic,Danijela Gracanin,Nemanja Tasic,Nenad Simeunović
Publisher : Springer Nature
Page : 564 pages
File Size : 41,9 Mb
Release : 2022-05-23
Category : Technology & Engineering
ISBN : 9783030979478

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Proceedings on 18th International Conference on Industrial Systems – IS’20 by Bojan Lalic,Danijela Gracanin,Nemanja Tasic,Nenad Simeunović Pdf

This book proposes theoretically developed and practically tested solutions for manufacturing and business improvements achieved in the period between two conferences. It enables presentation of new knowledge and exchange of practical experience in industrial systems engineering and management. It brings together prominent researchers and practitioners from faculties, scientific institutes, and different enterprises or other organizations .This is the 18th edition of the conference. The Department of Industrial Engineering and Management at the Faculty of Technical Sciences in Novi Sad organizes a scientific conference on industrial systems engineering and management field of science and practice, once in three years.

Knowledge Management and Digital Transformation Power

Orhan TORKUL,Tuğba TUNACAN
Knowledge Management and Digital Transformation Power Book PDF

Author : Orhan TORKUL,Tuğba TUNACAN
Publisher : Efe Akademi Yayınları
Page : 268 pages
File Size : 43,5 Mb
Release : 2022-11-25
Category : Computers
ISBN : 9786256995178

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Knowledge Management and Digital Transformation Power by Orhan TORKUL,Tuğba TUNACAN Pdf

İÇİNDEKİLER ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TECHNIQUES IN DISTANCE EDUCATION (2012-2021): A SYSTEMATIC REVIEW MEHMET BARIŞ HORZUM - DENİZ DEMİRCİOĞLU DİREN THE ROLE OF CUSTOMER KNOWLEDGE IN DIGITAL TRANSFORMATION: CUSTOMER KNOWLEDGE MANAGEMENT AS A COMPETITIVE ADVANTAGE THROUGH SOCIAL MEDIA PLATFORMS LEVENT ÇALLI MACHINE LEARNING AS A TOOL FOR ACHIEVING DIGITAL TRANSFORMATION MERVE ŞİŞCİ - YUNUS EMRE TORKUL - İHSAN HAKAN SELVİ BLOCKCHAIN-BASED ENERGY MANAGEMENT FOR SUPPLY CHAIN MANAGEMENT ERAY AÇIKGÖZ - BERRİN DENİZHAN A STUDY ON DEEP LEARNING BASED APPLICATIONS USED IN AGRICULTURE IN TURKIYE GÜNAY TEMÜR BLOCKCHAIN AND INFORMATION SHARING FATİH ÇALLI INDUSTRY 4.0, SMART FACTORIES AND EFFECTS ON BUSINESS TİJEN ÖVER ÖZÇELİK - İHSAN HAKAN SELVİ - AYTEN YILMAZ YALÇINER - MUHAMMED TAHA ZEREN ANALYSIS OF THE PARAMETERS THAT AFFECT THE MOISTURE CONTENT OF THE PUMPKIN BY DATA MINING FEYZA GÜRBÜZ OPPORTUNITIES AND CHALLENGES OF DIGITAL TRANSFORMATION IN SMEs-THE ROLE OF DYNAMIC CAPABILITIES AS A CATALYST BÜŞRA ALMA ÇALLI A CUSTOMER-CENTRIC ANALYTICS FRAMEWORK AND INSIGHTS OF DIGITAL TRANSFORMATION ÖMER FARUK SEYMEN THE FUTURE OF MONEY AS A FINANCIAL INVESTMENT TOOL: CENTRAL BANK DIGITAL CURRENCY İNCİ MERVE ALTAN

Distributed Denial of Service Attacks

Rajeev Singh,Mangey Ram
Distributed Denial of Service Attacks Book PDF

Author : Rajeev Singh,Mangey Ram
Publisher : Walter de Gruyter GmbH & Co KG
Page : 232 pages
File Size : 40,8 Mb
Release : 2021-07-19
Category : Technology & Engineering
ISBN : 9783110619751

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Distributed Denial of Service Attacks by Rajeev Singh,Mangey Ram Pdf

Without mathematics no science would survive. This especially applies to the engineering sciences which highly depend on the applications of mathematics and mathematical tools such as optimization techniques, finite element methods, differential equations, fluid dynamics, mathematical modelling, and simulation. Neither optimization in engineering, nor the performance of safety-critical system and system security; nor high assurance software architecture and design would be possible without the development of mathematical applications. De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences (AMEIS) focusses on the latest applications of engineering and information technology that are possible only with the use of mathematical methods. By identifying the gaps in knowledge of engineering applications the AMEIS series fosters the international interchange between the sciences and keeps the reader informed about the latest developments.

Business Analytics Using R - A Practical Approach

Umesh R Hodeghatta,Umesha Nayak
Business Analytics Using R A Practical Approach Book PDF

Author : Umesh R Hodeghatta,Umesha Nayak
Publisher : Apress
Page : 291 pages
File Size : 50,9 Mb
Release : 2016-12-27
Category : Computers
ISBN : 9781484225141

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Business Analytics Using R - A Practical Approach by Umesh R Hodeghatta,Umesha Nayak Pdf

Learn the fundamental aspects of the business statistics, data mining, and machine learning techniques required to understand the huge amount of data generated by your organization. This book explains practical business analytics through examples, covers the steps involved in using it correctly, and shows you the context in which a particular technique does not make sense. Further, Practical Business Analytics using R helps you understand specific issues faced by organizations and how the solutions to these issues can be facilitated by business analytics. This book will discuss and explore the following through examples and case studies: An introduction to R: data management and R functions The architecture, framework, and life cycle of a business analytics project Descriptive analytics using R: descriptive statistics and data cleaning Data mining: classification, association rules, and clustering Predictive analytics: simple regression, multiple regression, and logistic regression This book includes case studies on important business analytic techniques, such as classification, association, clustering, and regression. The R language is the statistical tool used to demonstrate the concepts throughout the book. What You Will Learn • Write R programs to handle data • Build analytical models and draw useful inferences from them • Discover the basic concepts of data mining and machine learning • Carry out predictive modeling • Define a business issue as an analytical problem Who This Book Is For Beginners who want to understand and learn the fundamentals of analytics using R. Students, managers, executives, strategy and planning professionals, software professionals, and BI/DW professionals.

Big Data Analytics with SAS

David Pope
Big Data Analytics with SAS Book PDF

Author : David Pope
Publisher : Packt Publishing Ltd
Page : 258 pages
File Size : 47,9 Mb
Release : 2017-11-23
Category : Computers
ISBN : 9781788294317

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Big Data Analytics with SAS by David Pope Pdf

Leverage the capabilities of SAS to process and analyze Big Data About This Book Combine SAS with platforms such as Hadoop, SAP HANA, and Cloud Foundry-based platforms for effecient Big Data analytics Learn how to use the web browser-based SAS Studio and iPython Jupyter Notebook interfaces with SAS Practical, real-world examples on predictive modeling, forecasting, optimizing and reporting your Big Data 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 actionable insights will find this book to be very useful. If you are a data science professional looking to perform large-scale analytics with SAS, this book will also help you. A basic understanding of SAS will be helpful, but is not mandatory. What You Will Learn Configure a free version of SAS in order do hands-on exercises dealing with data management, analysis, and reporting. Understand the basic concepts of the SAS language which consists of the data step (for data preparation) and procedures (or PROCs) for analysis. Make use of the web browser based SAS Studio and iPython Jupyter Notebook interfaces for coding in the SAS, DS2, and FedSQL programming languages. Understand how the DS2 programming language plays an important role in Big Data preparation and analysis using SAS Integrate and work efficiently with Big Data platforms like Hadoop, SAP HANA, and cloud foundry based systems. In Detail SAS has been recognized by Money Magazine and Payscale as one of the top business skills to learn in order to advance one's career. Through innovative data management, analytics, and business intelligence software and services, SAS helps customers solve their business problems by allowing them to make better decisions faster. This book introduces the reader to the SAS and how they can use SAS to perform efficient analysis on any size data, including Big Data. The reader will learn how to prepare data for analysis, perform predictive, forecasting, and optimization analysis and then deploy or report on the results of these analyses. While performing the coding examples within this book the reader will learn how to use the web browser based SAS Studio and iPython Jupyter Notebook interfaces for working with SAS. Finally, the reader will learn how SAS's architecture is engineered and designed to scale up and/or out and be combined with the open source offerings such as Hadoop, Python, and R. By the end of this book, you will be able to clearly understand how you can efficiently analyze Big Data using SAS. Style and approach The book starts off by introducing the reader to SAS and the SAS programming language which provides data management, analytical, and reporting capabilities. Most chapters include hands on examples which highlights how SAS provides The Power to Know©. The reader will learn that if they are looking to perform large-scale data analysis that SAS provides an open platform engineered and designed to scale both up and out which allows the power of SAS to combine with open source offerings such as Hadoop, Python, and R.

Applied Linear Regression for Business Analytics with R

Daniel P. McGibney
Applied Linear Regression for Business Analytics with R Book PDF

Author : Daniel P. McGibney
Publisher : Springer Nature
Page : 286 pages
File Size : 54,8 Mb
Release : 2023-07-04
Category : Business & Economics
ISBN : 9783031214806

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Applied Linear Regression for Business Analytics with R by Daniel P. McGibney Pdf

Applied Linear Regression for Business Analytics with R introduces regression analysis to business students using the R programming language with a focus on illustrating and solving real-time, topical problems. Specifically, this book presents modern and relevant case studies from the business world, along with clear and concise explanations of the theory, intuition, hands-on examples, and the coding required to employ regression modeling. Each chapter includes the mathematical formulation and details of regression analysis and provides in-depth practical analysis using the R programming language.

R Programming: An Approach to Data Analytics

G. Sudhamathy, C. Jothi Venkateswaran
R Programming An Approach to Data Analytics Book PDF

Author : G. Sudhamathy, C. Jothi Venkateswaran
Publisher : MJP Publisher
Page : 383 pages
File Size : 44,5 Mb
Release : 2019-06-03
Category : Computers
ISBN : 8210379456XXX

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R Programming: An Approach to Data Analytics by G. Sudhamathy, C. Jothi Venkateswaran Pdf

Chapter 1 - Basics of R, Chapter 2 - Data Types in R , Chapter 3 - Data Preparation. Chapter 4 - Graphics using R, Chapter 5 - Statistical Analysis Using R, Chapter 6 - Data Mining Using R, Chapter 7 - Case Studies. Huge volumes of data are being generated by many sources like commercial enterprises, scientific domains and general public daily. According to a recent research, data production will be 44 times greater in 2020 than it was in 2010. Data being a vital resource for business organizations and other domains like education, health, manufacturing etc., its management and analysis is becoming increasingly important. This data, due to its volume, variety and velocity, often referred to as Big Data, also includes highly unstructured data in the form of textual documents, web pages, graphical information and social media comments. Since Big Data is characterised by massive sample sizes, high dimensionality and intrinsic heterogeneity, traditional approaches to data management, visualisation and analytics are no longer satisfactorily applicable. There is therefore an urgent need for newer tools, better frameworks and workable methodologies for such data to be appropriately categorised, logically segmented, efficiently analysed and securely managed. This requirement has resulted in an emerging new discipline of Data Science that is now gaining much attention with researchers and practitioners in the field of Data Analytics.

Text Analytics with SAS

Anonim
Text Analytics with SAS Book PDF

Author : Anonim
Publisher : Unknown
Page : 108 pages
File Size : 50,8 Mb
Release : 2019-06-14
Category : Electronic
ISBN : 1642954829

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Text Analytics with SAS by Anonim Pdf

SAS provides many different solutions to investigate and analyze text and operationalize decisioning. Several impressive papers have been written to demonstrate how to use these techniques. We have carefully selected a handful of these from recent Global Forum contributions to introduce you to the topic and let you sample what each has to offer. Also available free as a PDF from sas.com/books.

Business Analytics Principles, Concepts, and Applications with SAS

Marc J. Schniederjans,Dara G. Schniederjans,Christopher M. Starkey
Business Analytics Principles Concepts and Applications with SAS Book PDF

Author : Marc J. Schniederjans,Dara G. Schniederjans,Christopher M. Starkey
Publisher : Pearson Education
Page : 353 pages
File Size : 54,6 Mb
Release : 2014-09-12
Category : Business & Economics
ISBN : 9780133989571

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Business Analytics Principles, Concepts, and Applications with SAS by Marc J. Schniederjans,Dara G. Schniederjans,Christopher M. Starkey Pdf

Learn everything you need to know to start using business analytics and integrating it throughout your organization. Business Analytics Principles, Concepts, and Applications with SAS brings together a complete, integrated package of knowledge for newcomers to the subject. The authors present an up-to-date view of what business analytics is, why it is so valuable, and most importantly, how it is used. They combine essential conceptual content with clear explanations of the tools, techniques, and methodologies actually used to implement modern business analytics initiatives. They offer a proven step-wise approach to designing an analytics program, and successfully integrating it into your organization, so it effectively provides intelligence for competitive advantage in decision making. Using step-by-step examples, the authors identify common challenges that can be addressed by business analytics, illustrate each type of analytics (descriptive, prescriptive, and predictive), and guide users in undertaking their own projects. Illustrating the real-world use of statistical, information systems, and management science methodologies, these examples help readers successfully apply the methods they are learning. Unlike most competitive guides, this text demonstrates the use of SAS software, permitting instructors to spend less time teaching software and more time focusing on business analytics itself. Business Analytics Principles, Concepts, and Applications with SAS will be a valuable resource for all beginning-to-intermediate level business analysts and business analytics managers; for MBA/Masters' degree students in the field; and for advanced undergraduates majoring in statistics, applied mathematics, or engineering/operations research.