Excel Data Analysis

Author: Hector Guerrero
Publisher: Springer
ISBN: 3030012794
Format: PDF, Kindle
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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.

Microsoft Excel 2013 Data Analysis and Business Modeling

Author: Wayne Winston
Publisher: Pearson Education
ISBN: 0735681074
Format: PDF, ePub
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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

Data Analysis and Decision Making

Author: S. Albright
Publisher: Cengage Learning
ISBN: 0538476125
Format: PDF, Mobi
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DATA ANALYSIS AND DECISION MAKING emphasizes data analysis, modeling, and spreadsheet use in statistics and management science. This text became a market leader in its first edition for its clarity of writing and teach-by-example approach, and it continues that tradition in this edition. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Data Analysis Optimization and Simulation Modeling

Author: S. Christian Albright
Publisher:
ISBN: 9780538476768
Format: PDF, Docs
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DATA ANALYSIS, OPTIMIZATION, AND SIMULATION MODELING, 4e, International Edition is a teach-by-example approach, learner-friendly writing style, and complete Excel integration focusing on data analysis, modeling, and spreadsheet use in statistics and management science. The Premium Online Content Website (accessed by a unique code with every new book) includes links to the following add-ins: the Palisade Decision Tools Suite (@RISK, StatTools, PrecisionTree, TopRank, RISKOptimizer, NeuralTools, and Evolver); and SolverTable, allowing users to do sensitivity analysis. All of the add-ins is revised for Excel 2007 and notes about Excel 2010 are added where applicable.

Statistics Data Analysis and Decision Modeling

Author: James Robert Evans
Publisher: Prentice Hall
ISBN: 9780131886094
Format: PDF, Docs
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This book covers basic concepts of business statistics, data analysis, and management science in a spreadsheet environment. Practical applications are emphasized throughout the book for business decision-making; a comprehensive database is developed, with marketing, financial, and production data already formatted on Excel worksheets. This shows how real data is used and decisions are made.Using Excel as the basic software, and including such add-ins as PHStat2, Crystal Ball, and TreePlan, this book covers a wide variety of topics related to business statistics: statistical thinking in business; displaying and summarizing data; random variables; sampling; regression analysis; forecasting; statistical quality control; risk analysis and Monte-Carlo simulation; systems simulation modeling and analysis; selection models and decision analysis; optimization modeling; and solving and analyzing optimization models.For those employed in the fields of quality control, management science, operations management, statistical science, and those who need to interpret data to make informed business decisions.

Financial Modeling with Crystal Ball and Excel

Author: John Charnes
Publisher: John Wiley & Sons
ISBN: 1118240057
Format: PDF, ePub
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Updated look at financial modeling and Monte Carlo simulationwith software by Oracle Crystal Ball This revised and updated edition of the bestselling book onfinancial modeling provides the tools and techniques needed toperform spreadsheet simulation. It answers the essential questionof why risk analysis is vital to the decision-making process, forany problem posed in finance and investment. This reliable resourcereviews the basics and covers how to define and refine probabilitydistributions in financial modeling, and explores the conceptsdriving the simulation modeling process. It also discussessimulation controls and analysis of simulation results. The second edition of Financial Modeling with Crystal Balland Excel contains instructions, theory, and practical examplemodels to help apply risk analysis to such areas as derivativepricing, cost estimation, portfolio allocation and optimization,credit risk, and cash flow analysis. It includes the resourcesneeded to develop essential skills in the areas of valuation,pricing, hedging, trading, risk management, project evaluation,credit risk, and portfolio management. Offers an updated edition of the bestselling book covering thenewest version of Oracle Crystal Ball Contains valuable insights on Monte Carlo simulation—anessential skill applied by many corporate finance and investmentprofessionals Written by John Charnes, the former finance department chair atthe University of Kansas and senior vice president of globalportfolio strategies at Bank of America, who is currently Presidentand Chief Data Scientist at Syntelli Solutions, Inc. Risk Analyticsand Predictive Intelligence Division (Syntelli RAPID) Engaging and informative, this book is a vital resource designedto help you become more adept at financial modeling andsimulation.

Modeling Risk DVD

Author: Johnathan Mun
Publisher: John Wiley & Sons
ISBN: 0470620013
Format: PDF
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An updated guide to risk analysis and modeling Although risk was once seen as something that was both unpredictable and uncontrollable, the evolution of risk analysis tools and theories has changed the way we look at this important business element. In the Second Edition of Analyzing and Modeling Risk, expert Dr. Johnathan Mun provides up-to-date coverage of risk analysis as it is applied within the realms of business risk analysis and offers an intuitive feel of what risk looks like, as well as the different ways of quantifying it. This Second Edition provides professionals in all industries a more comprehensive guide on such key concepts as risk and return, the fundamentals of model building, Monte Carlo simulation, forecasting, time-series and regression analysis, optimization, real options, and more. Includes new examples, questions, and exercises as well as updates using Excel 2007 Book supported by author's proprietary risk analysis software found on the companion CD-ROM Offers both a qualitative and quantitative description of risk Filled with in-depth insights and practical advice, this reliable resource covers all of the essential tools and techniques that risk managers need to successfully conduct risk analysis. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.

Computer Simulation Using Excel without Programming

Author: Evon M. O. Abu-Taieh
Publisher: Universal-Publishers
ISBN: 1581123949
Format: PDF, ePub, Docs
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Defining Simulation in its broadest aspect as embodying a certain model to represent the behavior of a system, whether that may be an economic or an engineering one, with which conducting experiments is attainable. Such a technique enables the management

Business Analytics Data Analysis Decision Making

Author: S. Christian Albright
Publisher: Cengage Learning
ISBN: 1305947541
Format: PDF, Mobi
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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 BI” suite. In addition, up-to-date problem sets and cases provide realistic examples to show the relevance of the material. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.