Microsoft Excel 2010 Data Analysis and Business Modeling

Microsoft Excel 2010 Data Analysis and Business Modeling Author Wayne Winston
ISBN-10 9780735660298
Year 2011-01-07
Pages 720
Language en
Publisher Pearson Education
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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

Microsoft Excel Data Analysis and Business Modeling

Microsoft Excel Data Analysis and Business Modeling Author Wayne Winston
ISBN-10 9781509304226
Year 2016-11-29
Pages 984
Language en
Publisher Microsoft Press
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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

Microsoft Excel Data Analysis and Business Modeling

Microsoft Excel Data Analysis and Business Modeling Author Wayne Winston
ISBN-10 1509304215
Year 2016-12-01
Pages 984
Language en
Publisher Microsoft Press
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Written by award-winning educator Wayne Winston, this hands-on, scenario-focused guide will help you apply Excel 2016's most valuable innovations for data analysis and business modeling. It's packed with realistic problems and solutions to help you gain mastery -- including over 150 that are new or revised. Coverage includes: Quickly transitioning from basic Excel to more sophisticated analytics Summarizing data with PivotTables and Descriptive Statistics Exploring new trends in predictive and prescriptive analytics Using Excel Trend Curves, multiple regression, and exponential smoothing Mastering advanced Excel functions such as OFFSET and INDIRECT Delving into key financial, statistical, and time functions Making charts more effective with Power View Tame complex optimization problems with Excel Solver Running Monte Carlo simulations on stock prices and bidding models Using Excel 2016's new FORECAST and Power Map tools Working with the AGGREGATE function and Table Slicers Creating multiple PivotTables from a filter Using HYPERLINKS, ISFORMULA, and UNICODE Performing sensitivity analyses with more than two variables Making the most of the Inquire add-in And much more "

Microsoft Excel 2013 Data Analysis and Business Modeling

Microsoft Excel 2013 Data Analysis and Business Modeling Author Wayne Winston
ISBN-10 9780735681071
Year 2014-01-15
Pages 888
Language en
Publisher Pearson Education
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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

Learn to Program with Small Basic

Learn to Program with Small Basic Author Majed Marji
ISBN-10 9781593277024
Year 2016-12-16
Pages 344
Language en
Publisher No Starch Press
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Small Basic is a free, beginner-friendly programming language created by Microsoft. Inspired by BASIC, which introduced programming to millions of first-time PC owners in the 1970s and 1980s, Small Basic is a modern language that makes coding simple and fun. Learn to Program with Small Basic introduces you to the empowering world of programming. You’ll master the basics with simple activities like displaying messages and drawing colorful pictures, and then work your way up to programming games! Learn how to: *Program your computer to greet you by name *Make a game of rock-paper-scissors using If/Else statements *Create an interactive treasure map using arrays *Draw intricate geometric patterns with just a few lines of code *Simplify complex programs by breaking them into bite-sized subroutines You’ll also learn to command a turtle to draw shapes, create magical moving text, solve math problems quickly, help a knight slay a dragon, and more! Each chapter ends with creative coding challenges so you can take your skills to the next level. Learn to Program with Small Basic is the perfect place to start your computer science journey.

Excel Data Analysis

Excel Data Analysis Author Hector Guerrero
ISBN-10 3642108350
Year 2010-03-10
Pages 338
Language en
Publisher Springer Science & Business Media
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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.

Business Analytics Data Analysis Decision Making

Business Analytics  Data Analysis   Decision Making Author S. Christian Albright
ISBN-10 9781337225274
Year 2016-03-31
Pages 984
Language en
Publisher Cengage Learning
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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.

Microsoft Excel 2010

Microsoft Excel 2010 Author Wayne L. Winston
ISBN-10 0735643369
Year 2011
Pages 700
Language en
Publisher
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An award-winning business professor and corporate consultant shares the best of his real-world experience in this practical, scenario-focused guide--fully updated for Excel 2010.

Analyzing Business Data with Excel

Analyzing Business Data with Excel Author Gerald Knight
ISBN-10 0596553463
Year 2006-01-03
Pages 266
Language en
Publisher "O'Reilly Media, Inc."
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As one of the most widely used desktop applications ever created, Excel is familiar to just about everyone with a computer and a keyboard. Yet most of us don't know the full extent of what Excel can do, mostly because of its recent growth in power, versatility, and complexity. The truth is that there are many ways Excel can help make your job easier-beyond calculating sums and averages in a standard spreadsheet. Analyzing Business Data with Excel shows you how to solve real-world business problems by taking Excel's data analysis features to the max. Rather than focusing on individual Excel functions and features, the book keys directly on the needs of business users. Most of the chapters start with a business problem or question, and then show you how to create pointed spreadsheets that address common data analysis issues. Aimed primarily at experienced Excel users, the book doesn't spend much time on the basics. After introducing some necessary general tools, it quickly moves into more specific problem areas, such as the following: Statistics Pivot tables Workload forecasting Modeling Measuring quality Monitoring complex systems Queuing Optimizing Importing data If you feel as though you're getting shortchanged by your overall application of Excel, Analyzing Business Data with Excel is just the antidote. It addresses the growing Excel data analysis market head on. Accountants, managers, analysts, engineers, and supervisors-one and all-will learn how to turn Excel functionality into actual solutions for the business problems that confront them.

Predictive Analytics

Predictive Analytics Author Conrad Carlberg
ISBN-10 9780132967259
Year 2012-07-02
Pages 336
Language en
Publisher Que Publishing
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Excel predictive analytics for serious data crunchers! The movie Moneyball made predictive analytics famous: Now you can apply the same techniques to help your business win. You don’t need multimillion-dollar software: All the tools you need are available in Microsoft Excel, and all the knowledge and skills are right here, in this book! Microsoft Excel MVP Conrad Carlberg shows you how to use Excel predictive analytics to solve real-world problems in areas ranging from sales and marketing to operations. Carlberg offers unprecedented insight into building powerful, credible, and reliable forecasts, showing how to gain deep insights from Excel that would be difficult to uncover with costly tools such as SAS or SPSS. You’ll get an extensive collection of downloadable Excel workbooks you can easily adapt to your own unique requirements, plus VBA code—much of it open-source—to streamline several of this book’s most complex techniques. Step by step, you’ll build on Excel skills you already have, learning advanced techniques that can help you increase revenue, reduce costs, and improve productivity. By mastering predictive analytics, you’ll gain a powerful competitive advantage for your company and yourself. • Learn both the “how” and “why” of using data to make better tactical decisions • Choose the right analytics technique for each problem • Use Excel to capture live real-time data from diverse sources, including third-party websites • Use logistic regression to predict behaviors such as “will buy” versus “won’t buy” • Distinguish random data bounces from real, fundamental changes • Forecast time series with smoothing and regression • Construct more accurate predictions by using Solver to find maximum likelihood estimates • Manage huge numbers of variables and enormous datasets with principal components analysis and Varimax factor rotation • Apply ARIMA (Box-Jenkins) techniques to build better forecasts and understand their meaning

Microsoft Excel 2013 Building Data Models with PowerPivot

Microsoft Excel 2013 Building Data Models with PowerPivot Author Alberto Ferrari
ISBN-10 9780735676565
Year 2013-03-15
Pages 500
Language en
Publisher Pearson Education
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Your guide to quickly turn data into results. Transform your skills, data, and business—and create your own BI solutions using software you already know and love: Microsoft Excel. Two business intelligence (BI) experts take you inside PowerPivot functionality for Excel 2013, with a focus on real world scenarios, problem-solving, and data modeling. You'll learn how to quickly turn mass quantities of data into meaningful information and on-the-job results—no programming required! Understand the differences between PowerPivot for Self Service BI and SQL Server Analysis Services for Corporate BI Extend your existing data-analysis skills to create your own BI solutions Quickly manipulate large data sets, often in millions of rows Perform simple-to-sophisticated calculations and what-if analysis Create complex reporting systems with data modeling and Data Analysis Expressions Share your results effortlessly across your organization using Microsoft SharePoint Authors’ note on using Microsoft Excel 2016: This book’s content was written against Excel 2013, but it is useful and valid for users of Excel 2016 too. Excel 2016 introduces several new DAX functions and an improved editor for DAX without changing any existing behavior. In other words, all of the concepts and examples explained in this book continue to work with Excel 2016.

Financial Analysis with Microsoft Excel 2007

Financial Analysis with Microsoft Excel 2007 Author Timothy Mayes
ISBN-10 9781439040379
Year 2009-03-26
Pages 480
Language en
Publisher Cengage Learning
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Help your students master THE calculating tool of choice for today’s financial professionals -- Excel -- while gaining a strong foundation in corporate finance. With Mayes/Shank’s FINANCIAL ANALYSIS WITH MICROSOFT EXCEL 2007, 5th Edition, you can take your students to a new level of proficiency in using Excel 2007 to solve real financial problems. The book’s solid content covers all of the topics from today’s corporate finance course, including financial statements, budgets, the Market Security Line, pro forma statements, cost of capital, equities, and debt. A reader-friendly, self-directed learning approach and numerous study tools make this book an ideal resource for independent learning as well as a valuable long-term reference tool. Because today’s typical students enter college with basic spreadsheet skills, this new edition takes learning to a new level -- covering the basics early and moving quickly into many of the more advanced and most powerful features of Excel. The book’s easy-to-understand presentation helps students build upon or transfer skills from other spreadsheet programs as they establish a strong understand of contemporary corporate finance. Give your students the valuable, highly marketable skills in Excel and corporate finance that they need to succeed now and throughout their careers with the latest in Mayes/Shank’s FINANCIAL ANALYSIS WITH MICROSOFT EXCEL 2007, 5th Edition. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Data Analysis and Decision Making

Data Analysis and Decision Making Author S. Christian Albright
ISBN-10 9781133171553
Year 2010-10-12
Pages 1080
Language en
Publisher Cengage Learning
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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.

Practical Management Science

Practical Management Science Author Wayne L. Winston
ISBN-10 9781305734845
Year 2015-01-01
Pages 888
Language en
Publisher Cengage Learning
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Geared entirely to Excel 2013, PRACTICAL MANAGEMENT SCIENCE, 5e helps students understand and take full advantage of the power of spreadsheet modeling. It integrates modeling into all functional areas of business--finance, marketing, operations management--using real examples and real data. Emphasizing applied, relevant learning, the text presents just the right amount of theory to ensure students understand the foundation of the topic, followed by exercises that give them practical, hands-on experience with the methodologies. It focuses on modeling over algebraic formulations and memorization of particular models. The Fifth Edition includes the latest changes in the accompanying @RISK and PrecisionTree add-ins, incorporates BigPicture diagrams of spreadsheet models into the optimization chapters, and provides new and updated cases throughout. The online Chapter 16: Multiobjective Decision Making is now more conceptual, while Chapter 9: Decision Making Under Uncertainty extends a single new product decisions example throughout the chapter. In addition almost 30 new tutorial videos explain concepts and work through examples. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Analyzing Data with Power BI and Power Pivot for Excel

Analyzing Data with Power BI and Power Pivot for Excel Author Alberto Ferrari
ISBN-10 9781509302819
Year 2017-04-28
Pages 320
Language en
Publisher Microsoft Press
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Renowned DAX experts Alberto Ferrari and Marco Russo teach you how to design data models for maximum efficiency and effectiveness. How can you use Excel and Power BI to gain real insights into your information? As you examine your data, how do you write a formula that provides the numbers you need? The answers to both of these questions lie with the data model. This book introduces the basic techniques for shaping data models in Excel and Power BI. It’s meant for readers who are new to data modeling as well as for experienced data modelers looking for tips from the experts. If you want to use Power BI or Excel to analyze data, the many real-world examples in this book will help you look at your reports in a different way–like experienced data modelers do. As you’ll soon see, with the right data model, the correct answer is always a simple one! By reading this book, you will: • Gain an understanding of the basics of data modeling, including tables, relationships, and keys • Familiarize yourself with star schemas, snowflakes, and common modeling techniques • Learn the importance of granularity • Discover how to use multiple fact tables, like sales and purchases, in a complex data model • Manage calendar-related calculations by using date tables • Track historical attributes, like previous addresses of customers or manager assignments • Use snapshots to compute quantity on hand • Work with multiple currencies in the most efficient way • Analyze events that have durations, including overlapping durations • Learn what data model you need to answer your specific business questions About This Book • For Excel and Power BI users who want to exploit the full power of their favorite tools • For BI professionals seeking new ideas for modeling data