Data 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 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

Produk Detail:

  • Author : Luiz Paulo Fávero
  • Publisher : Academic Press
  • Pages : 1000 pages
  • ISBN : 9780128112168
  • Rating : 5/5 from 2 reviews
CLICK HERE TO GET THIS BOOKData Science for Business and Decision Making

Data Science for Business and Decision Making

Data Science for Business and Decision Making
  • Author : Luiz Paulo Fávero,Patrícia Belfiore
  • Publisher : Academic Press
  • Release : 08 March 2019
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 and Decision Making

Data Science for Business and Decision Making
  • Author : Luiz Paulo Fávero,Patrícia Belfiore
  • Publisher : Academic Press
  • Release : 11 April 2019
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 : 27 July 2013
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

Customer and Business Analytics

Customer and Business Analytics
  • Author : Daniel S. Putler,Robert E. Krider
  • Publisher : CRC Press
  • Release : 15 September 2015
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 for Decision Making

Business Analytics for Decision Making
  • Author : Steven Orla Kimbrough,Hoong Chuin Lau
  • Publisher : CRC Press
  • Release : 03 September 2018
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

The Decision Maker's Handbook to Data Science

The Decision Maker's Handbook to Data Science
  • Author : Stylianos Kampakis
  • Publisher : Apress
  • Release : 26 November 2019
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,

Big Data Analytics for Improved Accuracy, Efficiency, and Decision Making in Digital Marketing

Big Data Analytics for Improved Accuracy, Efficiency, and Decision Making in Digital Marketing
  • Author : Singh, Amandeep
  • Publisher : IGI Global
  • Release : 18 June 2021
GET THIS BOOKBig Data Analytics for Improved Accuracy, Efficiency, and Decision Making in Digital Marketing

The availability of big data, low-cost commodity hardware, and new information management and analytic software have produced a unique moment in the history of data analysis. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time in history. They represent a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue, and profitability especially in digital marketing. Data plays

Business Intelligence

Business Intelligence
  • Author : Carlo Vercellis
  • Publisher : John Wiley & Sons
  • Release : 10 August 2011
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

Wisdom, Analytics and Wicked Problems

Wisdom, Analytics and Wicked Problems
  • Author : Ali Intezari,David Pauleen
  • Publisher : Taylor & Francis
  • Release : 02 November 2018
GET THIS BOOKWisdom, Analytics and Wicked Problems

The challenges faced by 21st-century businesses, organizations and governments are characterized as being fundamentally different in nature, scope and levels of impact from those of the past. As problems become increasingly complex and wicked, conventional reductive approaches and data-based solutions are limited. The authors argue that practical wisdom is required. This book provides an integral and practical model for incorporating wisdom into management decision making. Based on a cross-disciplinary conceptualization of practical wisdom, the authors distinguish systematically between data, information,

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 : 12 October 2020
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

Data Science for Economics and Finance

Data Science for Economics and Finance
  • Author : Sergio Consoli,Diego Reforgiato Recupero,Michaela Saisana
  • Publisher : Springer Nature
  • Release : 24 May 2022
GET THIS BOOKData Science for Economics and Finance

This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance

Introduction to Business Analytics

Introduction to Business Analytics
  • Author : Steven Orla Kimbrough,Lau Hoong Chuin
  • Publisher : Chapman and Hall/CRC
  • Release : 15 January 2016
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

Business Analytics: Data Analysis & Decision Making

Business Analytics: Data Analysis & Decision Making
  • Author : S. Christian Albright,Wayne L. Winston
  • Publisher : Cengage Learning
  • Release : 31 March 2016
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

Big Data, Mining, and Analytics

Big Data, Mining, and Analytics
  • Author : Stephan Kudyba
  • Publisher : CRC Press
  • Release : 12 March 2014
GET THIS BOOKBig Data, Mining, and Analytics

There is an ongoing data explosion transpiring that will make previous creations, collections, and storage of data look trivial. Big Data, Mining, and Analytics: Components of Strategic Decision Making ties together big data, data mining, and analytics to explain how readers can leverage them to extract valuable insights from their data. Facilitati

Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions

Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions
  • Author : Matt Taddy
  • Publisher : McGraw Hill Professional
  • Release : 23 August 2019
GET THIS BOOKBusiness Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Use machine learning to understand your customers, frame decisions, and drive value The business analytics world has changed, and Data Scientists are taking over. Business Data Science takes you through the steps of using machine learning to implement best-in-class business data science. Whether you are a business leader with a desire to go