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Data Analysis Decision Making With Microsoft Excel Student Cd Rom
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Author :S. Christian Albright Publisher :South Western Educational Publishing ISBN 13 :9780534383664 Total Pages :988 pages Book Rating :4.3/5 (836 download)
Book Synopsis Data Analysis for Managers with Microsoft Excel by : S. Christian Albright
Download or read book Data Analysis for Managers with Microsoft Excel written by S. Christian Albright and published by South Western Educational Publishing. This book was released on 2004 with total page 988 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text presents statistical concepts and methods in a unified, modern, spreadsheet-oriented approach. Featuring a wealth of business applications, this examples-based text illustrates a variety of statistical methods to help students analyze data sets and uncover important information to aid decision-making. DATA ANALYSIS FOR MANAGERS contains professional StatPro add-ins for Microsoft Excel from Palisade, valued at one hundred fifty dollars packaged at no additional cost with every new text.
Book Synopsis Data Analysis & Decision Making with Microsoft Excel by : Samuel Christian Albright
Download or read book Data Analysis & Decision Making with Microsoft Excel written by Samuel Christian Albright and published by South-Western Pub. This book was released on 2009 with total page 1090 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master data analysis, modeling, and spreadsheet use with DATA ANALYSIS AND DECISION MAKING WITH MICROSOFT EXCEL! With a teach-by-example approach, student-friendly writing style, and complete Excel integration, this quantitative methods text provides you with the tools you need to succeed. Margin notes, boxed-in definitions and formulas in the text, enhanced explanations in the text itself, and stated objectives for the examples found throughout the text make studying easy. Problem sets and cases provide realistic examples that enable you to see the relevance of the material to your future as a business leader. The CD-ROMs packaged with every new book include the following add-ins: the Palisade Decision Tools Suite (@RISK, StatTools, PrecisionTree, TopRank, and RISKOptimizer); and SolverTable, which allows you to do sensitivity analysis. All of these add-ins have been revised for Excel 2007.
Book Synopsis Management Decision Making by : George E. Monahan
Download or read book Management Decision Making written by George E. Monahan and published by Cambridge University Press. This book was released on 2000-08-17 with total page 760 pages. Available in PDF, EPUB and Kindle. Book excerpt: CD-ROM contains: Crystal Ball -- TreePlan -- AnimaLP -- Queue -- ExcelWorkbooks.
Book Synopsis Data Mining for Business Analytics by : Galit Shmueli
Download or read book Data Mining for Business Analytics written by Galit Shmueli and published by John Wiley & Sons. This book was released on 2019-10-14 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and open-source software) to tackle business problems and opportunities. This is the sixth version of this successful text, and the first using Python. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes: A new co-author, Peter Gedeck, who brings both experience teaching business analytics courses using Python, and expertise in the application of machine learning methods to the drug-discovery process A new section on ethical issues in data mining Updates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students More than a dozen case studies demonstrating applications for the data mining techniques described End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology. “This book has by far the most comprehensive review of business analytics methods that I have ever seen, covering everything from classical approaches such as linear and logistic regression, through to modern methods like neural networks, bagging and boosting, and even much more business specific procedures such as social network analysis and text mining. If not the bible, it is at the least a definitive manual on the subject.” —Gareth M. James, University of Southern California and co-author (with Witten, Hastie and Tibshirani) of the best-selling book An Introduction to Statistical Learning, with Applications in R
Book Synopsis Data-Driven Business Decisions by : Chris J. Lloyd
Download or read book Data-Driven Business Decisions written by Chris J. Lloyd and published by John Wiley & Sons. This book was released on 2011-10-25 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hands-on guide to the use of quantitative methods and software for making successful business decisions The appropriate use of quantitative methods lies at the core of successful decisions made by managers, researchers, and students in the field of business. Providing a framework for the development of sound judgment and the ability to utilize quantitative and qualitative approaches, Data Driven Business Decisions introduces readers to the important role that data plays in understanding business outcomes, addressing four general areas that managers need to know about: data handling and Microsoft Excel, uncertainty, the relationship between inputs and outputs, and complex decisions with trade-offs and uncertainty. Grounded in the author's own classroom approach to business statistics, the book reveals how to use data to understand the drivers of business outcomes, which in turn allows for data-driven business decisions. A basic, non-mathematical foundation in statistics is provided, outlining for readers the tools needed to link data with business decisions; account for uncertainty in the actions of others and in patterns revealed by data; handle data in Excel; translate their analysis into simple business terms; and present results in simple tables and charts. The author discusses key data analytic frameworks, such as decision trees and multiple regression, and also explores additional topics, including: Use of the Excel® functions Solver and Goal Seek Partial correlation and auto-correlation Interactions and proportional variation in regression models Seasonal adjustment and what it reveals Basic portfolio theory as an introduction to correlations Chapters are introduced with case studies that integrate simple ideas into the larger business context, and are followed by further details, raw data, and motivating insights. Algebraic notation is used only when necessary, and throughout the book, the author utilizes real-world examples from diverse areas such as market surveys, finance, economics, and business ethics. Excel® add-ins StatproGo and TreePlan are showcased to demonstrate execution of the techniques, and a related website features extensive programming instructions as well as insights, data sets, and solutions to problems included in the material. Data Driven Business Decisions is an excellent book for MBA quantitative analysis courses or undergraduate general statistics courses. It also serves as a valuable reference for practicing MBAs and practitioners in the fields of statistics, business, and finance.
Book Synopsis Building Financial Models with Microsoft Excel by : K. Scott Proctor
Download or read book Building Financial Models with Microsoft Excel written by K. Scott Proctor and published by John Wiley and Sons. This book was released on 2009-11-25 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: A proven guide to building financial models from scratch The Second Edition of Building Financial Models with Microsoft Excel + CD-ROM provides beginning and intermediate level computer users with step-by-step instructions on building financial models using Microsoft Excel 2007-the most popular spreadsheet program available. The accompanying CD-ROM contains Excel worksheets that track the course of the book and allow you to build your own financial models. This comprehensive resource also covers important topics such as the concepts of valuation, sensitivity analysis, and contribution margin. Offers accessible guidance on building financial models using Excel 2007 Illustrates how to integrate financial statements such as the balance sheet, income statement, and statement of cash flows Covers the basics of building and using a Capitalization Table Discusses how to best present a financial model Incorporating financial models into business decisions has become an essential element of good business practice, and this book will show you how to excel at this endeavor.
Book Synopsis Excel Data Analysis by : Hector Guerrero
Download or read book Excel Data Analysis written by Hector Guerrero and published by Springer. This book was released on 2018-12-14 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive and readable introduction to modern business and data analytics. It is based on the use of Excel, a tool that virtually all students and professionals have access to. The explanations are focused on understanding the techniques and their proper application, and are supplemented by a wealth of in-chapter and end-of-chapter exercises. In addition to the general statistical methods, the book also includes Monte Carlo simulation and optimization. The second edition has been thoroughly revised: new topics, exercises and examples have been added, and the readability has been further improved. The book is primarily intended for students in business, economics and government, as well as professionals, who need a more rigorous introduction to business and data analytics – yet also need to learn the topic quickly and without overly academic explanations.
Book Synopsis Business and Economic Statistics Using Microsoft Excel by : Ken Black
Download or read book Business and Economic Statistics Using Microsoft Excel written by Ken Black and published by Thomson South-Western. This book was released on 2002 with total page 776 pages. Available in PDF, EPUB and Kindle. Book excerpt: At many schools, professors and students require that Microsoft- Excel be integrated throughout their one-term course. Thoroughly integrating the use of Excel, this concise text will serve that need. Coverage is focused on applied processes that are handled by Excel. In addition, Excel macro add-ins accompany the text on a CD-ROM packaged with new copies of the book."
Book Synopsis Advanced Modelling in Finance using Excel and VBA by : Mary Jackson
Download or read book Advanced Modelling in Finance using Excel and VBA written by Mary Jackson and published by John Wiley & Sons. This book was released on 2006-08-30 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new and unique book demonstrates that Excel and VBA can play an important role in the explanation and implementation of numerical methods across finance. Advanced Modelling in Finance provides a comprehensive look at equities, options on equities and options on bonds from the early 1950s to the late 1990s. The book adopts a step-by-step approach to understanding the more sophisticated aspects of Excel macros and VBA programming, showing how these programming techniques can be used to model and manipulate financial data, as applied to equities, bonds and options. The book is essential for financial practitioners who need to develop their financial modelling skill sets as there is an increase in the need to analyse and develop ever more complex 'what if' scenarios. Specifically applies Excel and VBA to the financial markets Packaged with a CD containing the software from the examples throughout the book Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
Book Synopsis Decision Making with Insight by : Sam L. Savage
Download or read book Decision Making with Insight written by Sam L. Savage and published by Cengage Learning. This book was released on 2003 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dr. Sam Savage, who's recognized as a leading innovator in management science education, provides the most hands-on , practical introduction to methods of decision making. This book and accompanying suite of Excel add-ins for quantitative analysis covers Monte Carlo simulation, decision trees, queuing simulations, optimization, Markov chains, and forecasting. The Insight add-ins have been developed over several years by the author.
Book Synopsis Microsoft Excel 2013 Data Analysis and Business Modeling by : Wayne Winston
Download or read book Microsoft Excel 2013 Data Analysis and Business Modeling written by Wayne Winston and published by Pearson Education. This book was released on 2014-01-15 with total page 1167 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master business modeling and analysis techniques with Microsoft Excel 2013, and transform data into bottom-line results. Written by award-winning educator Wayne Winston, this hands-on, scenario-focused guide shows you how to use the latest Excel tools to integrate data from multiple tables—and how to effectively build a relational data source inside an Excel workbook. Solve real business problems with Excel—and sharpen your edge Summarize data with PivotTables and Descriptive Statistics Explore new trends in predictive and prescriptive analytics Use Excel Trend Curves, multiple regression, and exponential smoothing Master advanced Excel functions such as OFFSET and INDIRECT Delve into key financial, statistical, and time functions Make your charts more effective with the Power View tool Tame complex optimization problems with Excel Solver Run Monte Carlo simulations on stock prices and bidding models Apply important modeling tools such as the Inquire add-in
Book Synopsis Decision Modeling with Microsoft Excel by : Jeffrey H. Moore
Download or read book Decision Modeling with Microsoft Excel written by Jeffrey H. Moore and published by Pearson Educacion. This book was released on 2001 with total page 693 pages. Available in PDF, EPUB and Kindle. Book excerpt: CD-ROM contains: Premium Solver for Education -- Solver Table add-in software -- Extend LT 4.0 (simulation software) -- TreePlan -- GLP, a graphic visualization program -- Excel templates for in-text examples.
Book Synopsis Building Financial Models with Microsoft Excel by : K. Scott Proctor
Download or read book Building Financial Models with Microsoft Excel written by K. Scott Proctor and published by John Wiley & Sons. This book was released on 2004-10-28 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to building financial models Building Financial Models with Microsoft Excel + CD-ROM provides beginning or intermediate level computer users with step-by-step instructions on building financial models using Microsoft Excel-the most popular spreadsheet program available. The accompanying CD-ROM contains Excel worksheets that track the course of the book and allow readers to build their own financial models. This comprehensive resource also covers important topics such as the concept of valuation, the concept of sensitivity analysis, the concepts of contribution margin and financial ratios and the basics of building and using a Capitalization Table. K. Scott Proctor, CFA, is the Director of Investor Analytics at SNL Financial, a financial information provider.
Book Synopsis Statistics for Managers Using Microsoft Excel by : David M. Levine
Download or read book Statistics for Managers Using Microsoft Excel written by David M. Levine and published by . This book was released on 2002 with total page 920 pages. Available in PDF, EPUB and Kindle. Book excerpt: For one- or two-term courses in Business Statistics at the undergraduate or graduate level. This hallmark text was the first to thoroughly integrate the use of Microsoft Excel and still provides more Excel coverage than any other textbook. The streamlined coverage (15 chapters) focuses on the concepts of statistics with applications to the functional areas of business. It is rich with applications from accounting, finance, marketing, management and economics. There is significant emphasis on using statistical software as a tool, with most examples presented in a spreadsheet environment. This is the #1 best-selling business statistics text!
Book Synopsis Principles of Marketing Engineering, 2nd Edition by : Gary L. Lilien
Download or read book Principles of Marketing Engineering, 2nd Edition written by Gary L. Lilien and published by DecisionPro. This book was released on 2013 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 21st century business environment demands more analysis and rigor in marketing decision making. Increasingly, marketing decision making resembles design engineering-putting together concepts, data, analyses, and simulations to learn about the marketplace and to design effective marketing plans. While many view traditional marketing as art and some view it as science, the new marketing increasingly looks like engineering (that is, combining art and science to solve specific problems). Marketing Engineering is the systematic approach to harness data and knowledge to drive effective marketing decision making and implementation through a technology-enabled and model-supported decision process. (For more information on Excel-based models that support these concepts, visit DecisionPro.biz.) We have designed this book primarily for the business school student or marketing manager, who, with minimal background and technical training, must understand and employ the basic tools and models associated with Marketing Engineering. We offer an accessible overview of the most widely used marketing engineering concepts and tools and show how they drive the collection of the right data and information to perform the right analyses to make better marketing plans, better product designs, and better marketing decisions. What's New In the 2nd Edition While much has changed in the nearly five years since the first edition of Principles of Marketing Engineering was published, much has remained the same. Hence, we have not changed the basic structure or contents of the book. We have, however Updated the examples and references. Added new content on customer lifetime value and customer valuation methods. Added several new pricing models. Added new material on "reverse perceptual mapping" to describe some exciting enhancements to our Marketing Engineering for Excel software. Provided some new perspectives on the future of Marketing Engineering. Provided better alignment between the content of the text and both the software and cases available with Marketing Engineering for Excel 2.0.
Book Synopsis Management Information Systems by : Kenneth C. Laudon
Download or read book Management Information Systems written by Kenneth C. Laudon and published by Pearson Educación. This book was released on 2004 with total page 618 pages. Available in PDF, EPUB and Kindle. Book excerpt: Management Information Systems provides comprehensive and integrative coverage of essential new technologies, information system applications, and their impact on business models and managerial decision-making in an exciting and interactive manner. The twelfth edition focuses on the major changes that have been made in information technology over the past two years, and includes new opening, closing, and Interactive Session cases.
Book Synopsis Automated Data Analysis Using Excel by : Brian D. Bissett
Download or read book Automated Data Analysis Using Excel written by Brian D. Bissett and published by Chapman & Hall/CRC. This book was released on 2020 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new edition includes some key topics relating to the latest version of MS Office, including use of the ribbon, current Excel file types, Dashboard, and basic Sharepoint integration. It shows how to automate operations, such as curve fitting, sorting, filtering, and analyzing data from a variety of sources. The book allows users to analyze data and automate the preparation of custom reports and demonstrates how to assign Excel VBA code to the new "Ribbon" user interface.
