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Data Analysis and Decision Making

Data Analysis and Decision Making Author S. Albright
ISBN-10 9780538476126
Release 2010-10-12
Pages 1080
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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.



Microsoft Excel Data Analysis and Business Modeling

Microsoft Excel Data Analysis and Business Modeling Author Wayne Winston
ISBN-10 9781509304226
Release 2016-11-29
Pages 984
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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



Excel Data Analysis For Dummies

Excel Data Analysis For Dummies Author Stephen L. Nelson
ISBN-10 9781119077169
Release 2015-11-30
Pages 384
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Want to take the guesswork out of analyzing data? Let Excel do all the work for you! Data collection, management and analysis is the key to making effective business decisions, and if you are like most people, you probably don't take full advantage of Excel's data analysis tools. With Excel Data Analysis For Dummies, 3rd Edition, you'll learn how to leverage Microsoft Excel to take your data analysis to new heights by uncovering what is behind all of those mind-numbing numbers. The beauty of Excel lies in its functionality as a powerful data analysis tool. This easy-to-read guide will show you how to use Excel in conjunction with external databases, how to fully leverage PivotTables and PivotCharts, tips and tricks for using Excel's statistical and financial functions, how to visually present your data so it makes sense, and information about the fancier, more advanced tools for those who have mastered the basics! Once you're up to speed, you can stop worrying about how to make use of all that data you have on your hands and get down to the business of discovering meaningful, actionable insights for your business or organization. Excel is the most popular business intelligence tool in the world, and the newest update – Microsoft Excel 2016 – features even more powerful features for data analysis and visualization. Users can slice and dice their data and create visual presentations that turn otherwise indecipherable reports into easy-to-digest presentations that can quickly and effectively illustrate the key insights you are seeking. Fully updated to cover the latest updates and features of Excel 2016 Learn useful details about statistics, analysis, and visual presentations for your data Features coverage of database and statistics functions, descriptive statistics, inferential statistics, and optimization modeling with Solver Helps anyone who needs insight into how to get things done with data that is unwieldy and difficult to understand With Excel Data Analysis For Dummies, 3rd Edition, you'll soon be quickly and easily performing key analyses that can drive organizational decisions and create competitive advantages.



Data Analysis Decision Making with Microsoft Excel

Data Analysis   Decision Making with Microsoft Excel Author Samuel Christian Albright
ISBN-10 0324663501
Release 2009
Pages 1090
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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.



Dashboards for Excel

Dashboards for Excel Author Jordan Goldmeier
ISBN-10 9781430249450
Release 2015-10-07
Pages 542
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This book takes a hands-on approach to developing dashboards, from instructing users on advanced Excel techniques to addressing dashboard pitfalls common in the real world. Dashboards for Excel is your key to creating informative, actionable, and interactive dashboards and decision support systems. Throughout the book, the reader is challenged to think about Excel and data analytics differently—that is, to think outside the cell. This book shows you how to create dashboards in Excel quickly and effectively. In this book, you learn how to: Apply data visualization principles for more effective dashboards Employ dynamic charts and tables to create dashboards that are constantly up-to-date and providing fresh information Use understated yet powerful formulas for Excel development Apply advanced Excel techniques mixing formulas and Visual Basic for Applications (VBA) to create interactive dashboards Create dynamic systems for decision support in your organization Avoid common problems in Excel development and dashboard creation Get started with the Excel data model, PowerPivot, and Power Query



Excel Basics to Blackbelt

Excel Basics to Blackbelt Author Elliot Bendoly
ISBN-10 9781107245280
Release 2013-07-29
Pages 400
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This second edition of Excel Basics to Blackbelt capitalizes on the success of the first edition and leverages some of the advancements in visualization, data analysis, and sharing capabilities that have emerged over the past five years. As with the original text, the second edition is intended to serve as an accelerated guide to decision support designs for consultants and service professionals. This 'fast track' enables a ramping up of skills in Excel for those who may have never used it to reach a level of mastery that will allow them to integrate Excel with widely available associated applications, make use of intelligent data visualization and analysis techniques, automate activity through basic VBA designs, and develop easy-to-use interfaces for customizing use. In other words, this book provides users with lessons and examples on integrative Excel use that are not available from alternative texts.



VBA for Modelers Developing Decision Support Systems with Microsoft Office Excel

VBA for Modelers  Developing Decision Support Systems with Microsoft Office Excel Author S. Christian Albright
ISBN-10 9781305537644
Release 2015-04-13
Pages 736
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Today’s learners master both basic and advanced skills in Visual Basic for Applications (VBA), the programming language for Microsoft Office, with this essential tool. Albright’s VBA FOR MODELERS: DEVELOPING DECISION SUPPORT SYSTEMS WITH MICROSOFT OFFICE EXCEL, 5E teaches how to automate common spreadsheet tasks as well as create the sophisticated management science applications needed in business today. The first half of the book introduces readers to the fundamentals of VBA for Excel. The second half of the book puts knowledge into action as it illustrates how to automate a number of management science models using VBA. Students learn to develop clean code and user-friendly interfaces for inputs and results. A new section familiarizes readers with PowerPivot and the new Excel Data Model. Novices as well as more experienced professionals will find the skills and background they need to maximize their VBA skills. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.



Business Analytics Step by Step Tutorial

Business Analytics  Step by Step Tutorial Author Narcyz Roztocki
ISBN-10 9781365510458
Release 2016-11-13
Pages
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Business Analytics refers to utilizing existing data to make business decisions. Often, however, the decision-makers lack the knowledge and skill to process the existing documents and retrieve information that is useful for their decision-making. The objective of this tutorial is to improve basic skills on how to process existing data by providing a collection of simplified, but realistic, hands-on-examples. In essence, this tutorial is a collection of business mini cases. It starts with relatively simple cases and then progresses step-by-step by adding complexity to each of the following business cases. Its intent is to encourage effective and efficient use of application software to help the decisions-makers. There are three major changes to the second edition. First, several additional mini case studies are added. Second, the case studies are rearranged to allow a more systematic progress. Third, in addition to a solution key, detailed solutions to 35 exercises by using MS Excel are added.



Statistics Catalog 2005

Statistics Catalog 2005 Author Neil Thomson
ISBN-10 0534420451
Release 2004-09
Pages
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Statistics Catalog 2005 has been writing in one form or another for most of life. You can find so many inspiration from Statistics Catalog 2005 also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Statistics Catalog 2005 book for free.



Business Analytics Data Analysis Decision Making

Business Analytics  Data Analysis   Decision Making Author S. Christian Albright
ISBN-10 9781337225274
Release 2016-03-31
Pages 984
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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.



Excel Quick

Excel Quick Author Gaylord N. Smith
ISBN-10 9781133388005
Release 2012-07-25
Pages 160
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EXCEL QUICK is designed for business students and professionals who need a quick understanding of Microsoft Excel 2010. The goal of this tutorial is to get you up and running in Excel within one hour. This textbook offers many real world illustrations and hands-on examples. This tutorial covers Excel 2010, but also includes prior versions of Excel 2007, Excel 2003, Excel 2002 XP, and Excel 2000, discussing the differences where they exist. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.



Business Case Analysis with R

Business Case Analysis with R Author Robert D. Brown III
ISBN-10 9781484234952
Release 2018-03-01
Pages 282
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This tutorial teaches you how to use the statistical programming language R to develop a business case simulation and analysis. It presents a methodology for conducting business case analysis that minimizes decision delay by focusing stakeholders on what matters most and suggests pathways for minimizing the risk in strategic and capital allocation decisions. Business case analysis, often conducted in spreadsheets, exposes decision makers to additional risks that arise just from the use of the spreadsheet environment. R has become one of the most widely used tools for reproducible quantitative analysis, and analysts fluent in this language are in high demand. The R language, traditionally used for statistical analysis, provides a more explicit, flexible, and extensible environment than spreadsheets for conducting business case analysis. The main tutorial follows the case in which a chemical manufacturing company considers constructing a chemical reactor and production facility to bring a new compound to market. There are numerous uncertainties and risks involved, including the possibility that a competitor brings a similar product online. The company must determine the value of making the decision to move forward and where they might prioritize their attention to make a more informed and robust decision. While the example used is a chemical company, the analysis structure it presents can be applied to just about any business decision, from IT projects to new product development to commercial real estate. The supporting tutorials include the perspective of the founder of a professional service firm who wants to grow his business and a member of a strategic planning group in a biomedical device company who wants to know how much to budget in order to refine the quality of information about critical uncertainties that might affect the value of a chosen product development pathway. What You’ll Learn Set up a business case abstraction in an influence diagram to communicate the essence of the problem to other stakeholders Model the inherent uncertainties in the problem with Monte Carlo simulation using the R language Communicate the results graphically Draw appropriate insights from the results Develop creative decision strategies for thorough opportunity cost analysis Calculate the value of information on critical uncertainties between competing decision strategies to set the budget for deeper data analysis Construct appropriate information to satisfy the parameters for the Monte Carlo simulation when little or no empirical data are available Who This Book Is For Financial analysts, data practitioners, and risk/business professionals; also appropriate for graduate level finance, business, or data science students



Data Analysis Using Microsoft Excel

Data Analysis Using Microsoft Excel Author Michael R. Middleton
ISBN-10 0534402933
Release 2004
Pages 280
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Spreadsheet skills are important for a first job, and DATA ANALYSIS USING MICROSOFT EXCEL prepares students to enter the world of work with stronger spreadsheet skills. Designed as a supplement to a main statistics text or as a reference for professionals, this handbook helps students build their proficiency in Microsoft Excel and shows them how to use the built-in capabilities of Excel to analyze data and make decisions. Although many of the examples are business oriented, the step-by-step approach makes this book appropriate for statistical analysis in other courses and academic disciplines.



Accessing and Analyzing Data with Microsoft Excel

Accessing and Analyzing Data with Microsoft Excel Author Paul Cornell
ISBN-10 073561895X
Release 2003
Pages 378
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Accessing and Analyzing Data with Microsof Excel - reference book - CD, English



R for Data Science

R for Data Science Author Hadley Wickham
ISBN-10 9781491910368
Release 2016-12-12
Pages 520
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Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way. You’ll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results



Introduction to Business Analytics Using Simulation

Introduction to Business Analytics Using Simulation Author Jonathan P. Pinder
ISBN-10 9780128104866
Release 2016-09-03
Pages 448
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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



Excel 2013 For Dummies

Excel 2013 For Dummies Author Greg Harvey
ISBN-10 9781118559703
Release 2013-03-14
Pages 64
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Learn to create, edit, and print Excel worksheets Need to get going with Excel 2013 in a hurry? Here are the basic techniques you need to know to work with Excel spreadsheets on your desktop or Windows tablet. Nothing fancy — just what's necessary to open and navigate Excel 2013, enter and edit data, format cells, add a header and footer, and print your worksheet. It's easy! Open the book and find: Where to find things in the program window Tips for using Excel on a touchscreen device How to use AutoFill and Flash Fill Advice on entering formulas Steps for printing cool-looking reports