Data Science for Business and Decision Making

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  • Publisher : Academic Press
  • Release : 08 March 2019
  • ISBN : 0128112166
  • Page : 1000 pages
  • Rating : 5/5 from 2 voters

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Data Science for Business and Decision Making covers both statistics and operations research while most competing textbooks focus on one or the other. As a result, the book more clearly defines the principles of business analytics for those who want to apply quantitative methods in their work. Its emphasis reflects the importance of regression, optimization and simulation for practitioners of business analytics. Each chapter uses a didactic format that is followed by exercises and answers. Freely-accessible datasets enable students and professionals to work with Excel, Stata Statistical Software®, and IBM SPSS Statistics Software®. Combines statistics and operations research modeling to teach the principles of business analytics Written for students who want to apply statistics, optimization and multivariate modeling to gain competitive advantages in business Shows how powerful software packages, such as SPSS and Stata, can create graphical and numerical outputs

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Data Science for Business and Decision Making

Data Science for Business and Decision Making
  • Author : Luiz Paulo Fávero,Patrícia Belfiore
  • Publisher : Academic Press
  • Release Date : 2019-03-08
  • ISBN : 0128112166
GET THIS BOOKData Science for Business and Decision Making

Data Science for Business and Decision Making covers both statistics and operations research while most competing textbooks focus on one or the other. As a result, the book more clearly defines the principles of business analytics for those who want to apply quantitative methods in their work. Its emphasis reflects the importance of regression, optimization and simulation for practitioners of business analytics. Each chapter uses a didactic format that is followed by exercises and answers. Freely-accessible datasets enable students and

Data Science for Business

Data Science for Business
  • Author : Foster Provost,Tom Fawcett
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2013-07-27
  • ISBN : 9781449374280
GET THIS BOOKData Science for Business

Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world

Business Analytics for Decision Making

Business Analytics for Decision Making
  • Author : Steven Orla Kimbrough,Hoong Chuin Lau
  • Publisher : CRC Press
  • Release Date : 2016-07-31
  • ISBN : 9781315360249
GET THIS BOOKBusiness Analytics for Decision Making

Business Analytics for Decision Making, the first complete text suitable for use in introductory Business Analytics courses, establishes a national syllabus for an emerging first course at an MBA or upper undergraduate level. This timely text is mainly about model analytics, particularly analytics for constrained optimization. It uses implementations that allow students to explore models and data for the sake of discovery, understanding, and decision making. Business analytics is about using data and models to solve various kinds of decision

Customer and Business Analytics

Customer and Business Analytics
  • Author : Daniel S. Putler,Robert E. Krider
  • Publisher : CRC Press
  • Release Date : 2015-09-15
  • ISBN : 9781498759700
GET THIS BOOKCustomer and Business Analytics

Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems. It also gives insight into some of the challenges faced when deploying these tools. Extensively classroom-tested, the text is ideal for students in customer and business analytics or applied data mining as well as professionals in small- to medium-sized organizations. The book offers an intuitive understanding of how different analytics

Business Analytics: Data Analysis & Decision Making

Business Analytics: Data Analysis & Decision Making
  • Author : S. Christian Albright,Wayne L. Winston
  • Publisher : Cengage Learning
  • Release Date : 2016-03-31
  • ISBN : 9781337225274
GET THIS BOOKBusiness Analytics: Data Analysis & Decision Making

Master data analysis, modeling, and spreadsheet use with BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING, 6E! Popular with students, instructors, and practitioners, this quantitative methods text delivers the tools to succeed with its proven teach-by-example approach, user-friendly writing style, and complete Excel 2016 integration. It is also compatible with Excel 2013, 2010, and 2007. Completely rewritten, Chapter 17, Data Mining, and Chapter 18, Importing Data into Excel, include increased emphasis on the tools commonly included under the Business Analytics umbrella -- including Microsoft Excel’s “Power

Getting Started with Business Analytics

Getting Started with Business Analytics
  • Author : David Roi Hardoon,Galit Shmueli
  • Publisher : CRC Press
  • Release Date : 2013-03-26
  • ISBN : 9781439896532
GET THIS BOOKGetting Started with Business Analytics

Assuming no prior knowledge or technical skills, Getting Started with Business Analytics: Insightful Decision-Making explores the contents, capabilities, and applications of business analytics. It bridges the worlds of business and statistics and describes business analytics from a non-commercial standpoint. The authors demystify the main concepts and terminologies and give many examples of real-world applications. The first part of the book introduces business data and recent technologies that have promoted fact-based decision-making. The authors look at how business intelligence differs from

Data Science for Business and Decision Making

Data Science for Business and Decision Making
  • Author : Luiz Paulo Fávero,Patrícia Belfiore
  • Publisher : Academic Press
  • Release Date : 2019-04-11
  • ISBN : 9780128112175
GET THIS BOOKData Science for Business and Decision Making

Data Science for Business and Decision Making covers both statistics and operations research while most competing textbooks focus on one or the other. As a result, the book more clearly defines the principles of business analytics for those who want to apply quantitative methods in their work. Its emphasis reflects the importance of regression, optimization and simulation for practitioners of business analytics. Each chapter uses a didactic format that is followed by exercises and answers. Freely-accessible datasets enable students and

The Decision Maker's Handbook to Data Science

The Decision Maker's Handbook to Data Science
  • Author : Stylianos Kampakis
  • Publisher : Apress
  • Release Date : 2019-11-26
  • ISBN : 9781484254943
GET THIS BOOKThe Decision Maker's Handbook to Data Science

Data science is expanding across industries at a rapid pace, and the companies first to adopt best practices will gain a significant advantage. To reap the benefits, decision makers need to have a confident understanding of data science and its application in their organization. It is easy for novices to the subject to feel paralyzed by intimidating buzzwords, but what many don’t realize is that data science is in fact quite multidisciplinary—useful in the hands of business analysts,

Business Intelligence

Business Intelligence
  • Author : Carlo Vercellis
  • Publisher : John Wiley & Sons
  • Release Date : 2011-08-10
  • ISBN : 9781119965473
GET THIS BOOKBusiness Intelligence

Business intelligence is a broad category of applications and technologies for gathering, providing access to, and analyzing data for the purpose of helping enterprise users make better business decisions. The term implies having a comprehensive knowledge of all factors that affect a business, such as customers, competitors, business partners, economic environment, and internal operations, therefore enabling optimal decisions to be made. Business Intelligence provides readers with an introduction and practical guide to the mathematical models and analysis methodologies vital to

Data Science and Multiple Criteria Decision Making Approaches in Finance

Data Science and Multiple Criteria Decision Making Approaches in Finance
  • Author : Gökhan Silahtaroğlu,Hasan Dinçer,Serhat Yüksel
  • Publisher : Springer Nature
  • Release Date : 2021-05-29
  • ISBN : 9783030741761
GET THIS BOOKData Science and Multiple Criteria Decision Making Approaches in Finance

This book considers and assesses essential financial issues by utilizing data science and fuzzy multiple criteria decision making (MCDM) methods. It introduces readers to a range of data science methods, and demonstrates their application in the fields of business, health, economics, finance and engineering. In addition, it provides suggestions based on the assessment results on each topic, which can help to enhance the efficiency of the financial system and the sustainability of economic development. Given its scope, the book will

Management Decision-Making, Big Data and Analytics

Management Decision-Making, Big Data and Analytics
  • Author : Simone Gressel,David J. Pauleen,Nazim Taskin
  • Publisher : SAGE
  • Release Date : 2020-10-12
  • ISBN : 9781529738285
GET THIS BOOKManagement Decision-Making, Big Data and Analytics

Accessible and concise, this exciting new textbook examines data analytics from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers. The book successfully combines theory with practical application, featuring case studies, examples and a ‘critical incidents’ feature that make these topics engaging and relevant for students of business and management. The book features chapters on cutting-edge topics, including: • Big data • Analytics • Managing emerging technologies and decision-making • Managing the ethics, security, privacy and

Decision Intelligence Analytics and the Implementation of Strategic Business Management

Decision Intelligence Analytics and the Implementation of Strategic Business Management
  • Author : P. Mary Jeyanthi
  • Publisher : Springer Nature
  • Release Date : 2022-06-26
  • ISBN : 9783030827632
GET THIS BOOKDecision Intelligence Analytics and the Implementation of Strategic Business Management

Introduction to Business Analytics

Introduction to Business Analytics
  • Author : Steven Orla Kimbrough,Lau Hoong Chuin
  • Publisher : Chapman and Hall/CRC
  • Release Date : 2016-01-15
  • ISBN : 1482221764
GET THIS BOOKIntroduction to Business Analytics

If you want to solve a problem, strip the problem of nonessentials, simplify, and specialize without sacrificing its core. This book highlights this spirit using concrete, specific, simple examples pertaining to business analytics. Offering examples in thorough detail and designed to illuminate topics that often ramify to great complexity in practice, it associates concepts through generalizations and refers the interested to further sources. This book establishes a national syllabus for an emerging first course at an MBA level in Business

Data Driven Decision Making using Analytics

Data Driven Decision Making using Analytics
  • Author : Parul Gandhi,Surbhi Bhatia,Kapal Dev
  • Publisher : CRC Press
  • Release Date : 2021-12-21
  • ISBN : 9781000506433
GET THIS BOOKData Driven Decision Making using Analytics

This book aims to explain Data Analytics towards decision making in terms of models and algorithms, theoretical concepts, applications, experiments in relevant domains or focused on specific issues. It explores the concepts of database technology, machine learning, knowledge-based system, high performance computing, information retrieval, finding patterns hidden in large datasets and data visualization. Also, it presents various paradigms including pattern mining, clustering, classification, and data analysis. Overall aim is to provide technical solutions in the field of data analytics and

Real-World Data Mining

Real-World Data Mining
  • Author : Dursun Delen
  • Publisher : FT Press
  • Release Date : 2014-12-16
  • ISBN : 9780133551112
GET THIS BOOKReal-World Data Mining

Use the latest data mining best practices to enable timely, actionable, evidence-based decision making throughout your organization! Real-World Data Mining demystifies current best practices, showing how to use data mining to uncover hidden patterns and correlations, and leverage these to improve all aspects of business performance. Drawing on extensive experience as a researcher, practitioner, and instructor, Dr. Dursun Delen delivers an optimal balance of concepts, techniques and applications. Without compromising either simplicity or clarity, he provides enough technical depth to