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Excel Data Analysis

Author: Hector Guerrero
Publisher: Springer Science & Business Media
ISBN: 9783642108358
Size: 28.90 MB
Format: PDF, ePub
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Why does the World Need—Excel Data Analysis, Modeling, and Simulation? When spreadsheets ?rst became widely available in the early 1980s, it spawned a revolution in teaching. What previously could only be done with arcane software and large scale computing was now available to the common-man, on a desktop. Also, before spreadsheets, most substantial analytical work was done outside the classroom where the tools were; spreadsheets and personal computers moved the work into the classroom. Not only did it change how the analysis curriculum was taught, but it also empowered students to venture out on their own to explore new ways to use the tools. I can’t tell you how many phone calls, of?ce visits, and/or emails I have received in my teaching career from ecstatic students crowing about what they have just done with a spreadsheet model. I have been teaching courses related to spreadsheet based analysis and modeling for about 25 years and I have watched and participated in the spreadsheet revolution.

Microsoft Excel Data Analysis And Business Modeling

Author: Wayne Winston
Publisher: Microsoft Press
ISBN: 1509304223
Size: 72.96 MB
Format: PDF, Kindle
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This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Master business modeling and analysis techniques with Microsoft Excel 2016, and transform data into bottom-line results. Written by award-winning educator Wayne Winston, this hands on, scenario-focused guide helps you use Excel’s newest tools to ask the right questions and get accurate, actionable answers. This edition adds 150+ new problems with solutions, plus a chapter of basic spreadsheet models to make sure you’re fully up to speed. Solve real business problems with Excel–and build your competitive advantage Quickly transition from Excel basics to sophisticated analytics Summarize data by using PivotTables and Descriptive Statistics Use Excel trend curves, multiple regression, and exponential smoothing Master advanced functions such as OFFSET and INDIRECT Delve into key financial, statistical, and time functions Leverage the new charts in Excel 2016 (including box and whisker and waterfall charts) Make charts more effective by using Power View Tame complex optimizations by using Excel Solver Run Monte Carlo simulations on stock prices and bidding models Work with the AGGREGATE function and table slicers Create PivotTables from data in different worksheets or workbooks Learn about basic probability and Bayes’ Theorem Automate repetitive tasks by using macros

Data Analysis Optimization And Simulation Modeling

Author: S. Christian Albright
Publisher:
ISBN: 9780538476768
Size: 12.13 MB
Format: PDF, Kindle
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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.

Excel Simulations

Author: Gerard Verschuuren
Publisher: Tickling Keys, Inc.
ISBN: 1615470220
Size: 28.97 MB
Format: PDF, ePub, Docs
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Covering a variety of Excel simulations, from gambling to genetics, this introduction is for people interested in modeling future events, without the cost of an expensive textbook. The simulations covered offer a fun alternative to the usual Excel topics and include situations such as roulette, password cracking, sex determination, population growth, and traffic patterns, among many others.

Introductory Econometrics

Author: Humberto Barreto
Publisher: Cambridge University Press
ISBN: 9780521843195
Size: 42.47 MB
Format: PDF, ePub, Docs
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This highly accessible and innovative text with supporting web site uses Excel (R) to teach the core concepts of econometrics without advanced mathematics. It enables students to use Monte Carlo simulations in order to understand the data generating process and sampling distribution. Intelligent repetition of concrete examples effectively conveys the properties of the ordinary least squares (OLS) estimator and the nature of heteroskedasticity and autocorrelation. Coverage includes omitted variables, binary response models, basic time series, and simultaneous equations. The authors teach students how to construct their own real-world data sets drawn from the internet, which they can analyze with Excel (R) or with other econometric software. The accompanying web site with text support can be found at www.wabash.edu/econometrics.

Microsoft Office Excel 2007 Data Analysis And Business Modeling

Author: Wayne L. Winston
Publisher: "O'Reilly Media, Inc."
ISBN: 0735642583
Size: 26.90 MB
Format: PDF, Kindle
View: 3408
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Master the analysis and business modeling techniques that help you transform your data into bottom-line results. Award-winning business professor and corporate consultant Wayne Winston shares the best of his real-world experience in this practical guide—now updated for Excel 2007. Use Wayne’s proven practices and hands-on exercises to help you work smarter, make better decisions, and gain the competitive edge. Solve real-world business problems with Excel 2007! Maximize profits—determine NPV, optimize your product mix, calculate ROI Create best, worst, and most-likely case scenarios for sales Analyze investment performance and help minimize risk Track your personal finances, calculate loan terms, and plan for retirement Use trend and seasonality to forecast revenue Estimate a product’s demand curve and manage inventory with precision Interpret the effects of price and advertising on sales Assign a dollar value to customer loyalty Solve work scheduling problems and shorten wait times for customer service queues PLUS—predict outcomes of sporting events, presidential elections, and more! CD Includes: Sample files from each chapter Problem-and-solution sets—build your expertise! Fully searchable eBook A Note Regarding the CD or DVD The print version of this book ships with a CD or DVD. For those customers purchasing one of the digital formats in which this book is available, we are pleased to offer the CD/DVD content as a free download via OReilly Medias Digital Distribution services. To download this content, please visit OReillys web site, search for the title of this book to find its catalog page, and click on the link below the cover image (Examples, Companion Content, or Practice Files). Note that while we provide as much of the media content as we are able via free download, we are sometimes limited by licensing restrictions. Please direct any questions or concerns to [email protected]

Business Risk And Simulation Modelling In Practice

Author: Michael Rees
Publisher: John Wiley & Sons
ISBN: 1118904036
Size: 17.55 MB
Format: PDF, ePub
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The complete guide to the principles and practice of risk quantification for business applications. The assessment and quantification of risk provide an indispensable part of robust decision-making; to be effective, many professionals need a firm grasp of both the fundamental concepts and of the tools of the trade. Business Risk and Simulation Modelling in Practice is a comprehensive, in–depth, and practical guide that aims to help business risk managers, modelling analysts and general management to understand, conduct and use quantitative risk assessment and uncertainty modelling in their own situations. Key content areas include: Detailed descriptions of risk assessment processes, their objectives and uses, possible approaches to risk quantification, and their associated decision-benefits and organisational challenges. Principles and techniques in the design of risk models, including the similarities and differences with traditional financial models, and the enhancements that risk modelling can provide. In depth coverage of the principles and concepts in simulation methods, the statistical measurement of risk, the use and selection of probability distributions, the creation of dependency relationships, the alignment of risk modelling activities with general risk assessment processes, and a range of Excel modelling techniques. The implementation of simulation techniques using both Excel/VBA macros and the @RISK Excel add-in. Each platform may be appropriate depending on the context, whereas the core modelling concepts and risk assessment contexts are largely the same in each case. Some additional features and key benefits of using @RISK are also covered. Business Risk and Simulation Modelling in Practice reflects the author′s many years in training and consultancy in these areas. It provides clear and complete guidance, enhanced with an expert perspective. It uses approximately one hundred practical and real-life models to demonstrate all key concepts and techniques; these are accessible on the companion website.

Simulation Modeling Using Risk

Author: Wayne L. Winston
Publisher: Duxbury Press
ISBN: 9780534380595
Size: 54.90 MB
Format: PDF, ePub, Mobi
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With its understandable explanations of Monte Carlo and step-by-step instructions for Microsoft Excel, Lotus, and @Risk software, this text/software package offers both the instruction and the practice students need to begin solving complex business problems. It is designed for use as the primary learning tool in a short business simulation course (for advanced undergraduate and MBA students), or as a supplement to courses in investments, corporate finance, management science, marketing strategy, operations management, and actuarial science.

Introduction To Business Analytics Using Simulation

Author: Jonathan P. Pinder
Publisher: Academic Press
ISBN: 0128104864
Size: 43.67 MB
Format: PDF, Mobi
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Introduction to Business Analytics Using Simulation employs an innovative strategy to teach business analytics. It uses simulation modeling and analysis as mechanisms to introduce and link predictive and prescriptive modeling. Because managers can't fully assess what will happen in the future, but must still make decisions, the book treats uncertainty as an essential element in decision-making. Its use of simulation gives readers a superior way of analyzing past data, understanding an uncertain future, and optimizing results to select the best decision. With its focus on the uncertainty and variability of business, this comprehensive book provides a better foundation for business analytics than standard introductory business analytics books. Students will gain a better understanding of fundamental statistical concepts that are essential to marketing research, Six-Sigma, financial analysis, and business analytics. Winner of the 2017 Textbook and Academic Authors Association (TAA) Most Promising New Textbook Award. Teaches managers how they can use business analytics to formulate and solve business problems to enhance managerial decision-making Explains the processes needed to develop, report, and analyze business data Describes how to use and apply business analytics software

Microsoft Excel 2010 Data Analysis And Business Modeling

Author: Wayne L. Winston
Publisher: "O'Reilly Media, Inc."
ISBN: 0735660298
Size: 15.40 MB
Format: PDF, ePub, Mobi
View: 2852
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Master the business modeling and analysis techniques that help you transform data into bottom-line results. For more than a decade, Wayne Winston has been teaching corporate clients and MBA students the most effective ways to use Excel to solve business problems and make better decisions. Now this award-winning educator shares the best of his expertise in this hands-on, scenario-focused guide—fully updated for Excel 2010! Use Excel to solve real business problems—and sharpen your edge! Model investment risks and returns Analyze your sales team’s effectiveness Create best, worst, and most-likely case scenarios Compare lease vs. buy, and calculate loan terms See how price, advertising, and seasonality affect sales Manage inventory with precision Quantify the value of customer loyalty Calculate your break-even number and ROI Maximize scheduling efficiency Express “home-field advantage” in real numbers Project company growth, predict election results, and more! Plus—introduce yourself to PowerPivot for Excel Your companion web content includes: Downloadable eBook Hundreds of scenario-based practice problems All the book’s sample files—plus customizable templates Customer Service Note: We are sorry for the inconvenience, but the code for accessing the eBook version of this title was accidentally left out of the first printing. However, the code is available for buyers of the first printing by contacting O'Reilly Media, the official distributor for Microsoft Press books, at mspbooks[email protected] or 800-889-8969. All subsequent printings include the access code and instructions inside the book.