Decision Analytics

Author: Conrad George Carlberg
Editor: Que Publishing
ISBN: 0789751682
Size: 16,80 MB
Format: PDF, Mobi
Read: 889
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Explains how to distil big data into manageable sets and use them to optimise business and investment decisions. Reveals techniques to improve a wide range of decisions, and use simple Excel charts to grasp the results. Includes downloadable Excel workbooks to adapt to your own requirements.

Exam Prep For Decision Analytics Microsoft Excel

Author: Just the Facts101
Editor: Just the Facts101
ISBN: 9781538840047
Size: 12,12 MB
Format: PDF, Docs
Read: 600
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Your text simplified as the essential facts to prepare you for your exams. Over 2,000 higly probable test items.

Exam Prep For Decision Analytics Microsoft Excel 1 X2f E

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Editor:
ISBN:
Size: 13,36 MB
Format: PDF, Mobi
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Predictive Analytics

Author: Conrad Carlberg
Editor: Que Publishing
ISBN: 013468382X
Size: 13,79 MB
Format: PDF, ePub
Read: 984
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EXCEL 2016 PREDICTIVE ANALYTICS FOR SERIOUS DATA CRUNCHERS! Now, you can apply cutting-edge predictive analytics techniques to help your business win–and you don’t need multimillion-dollar software to do it. All the tools you need are available in Microsoft Excel 2016, 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 problems in areas ranging from sales and marketing to operations. Carlberg offers unprecedented insight into building powerful, credible, and reliable forecasts, helping you gain deep insights from Excel that would be difficult to uncover with costly tools such as SAS or SPSS. Fully updated for Excel 2016, this guide contains valuable new coverage of accounting for seasonality and managing complex consumer choice scenarios. Throughout, Carlberg provides downloadable Excel 2016 workbooks you can easily adapt to your own needs, plus VBA code–much of it open-source–to streamline especially 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 the “how” and “why” of using data to make better decisions, and choose the right technique for each problem 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 Account for trends and seasonality via Holt-Winters smoothing Prevent trends from running out of control over long time horizons Construct more accurate predictions by using Solver Manage large numbers of variables and unwieldy datasets with principal components analysis and Varimax factor rotation Apply ARIMA (Box-Jenkins) techniques to build better forecasts and clarify their meaning Handle complex consumer choice problems with advanced logistic regression Benchmark Excel results against R results

More Predictive Analytics

Author: Conrad Carlberg
Editor: Que Publishing
ISBN: 0134070933
Size: 15,72 MB
Format: PDF, ePub
Read: 544
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Accurate, practical Excel predictive analysis: powerful smoothing techniques for serious data crunchers! In More Predictive Analytics, Microsoft Excel® MVP Conrad Carlberg shows how to use intuitive smoothing techniques to make remarkably accurate predictions. You won’t have to write a line of code--all you need is Excel and this all-new, crystal-clear tutorial. Carlberg goes beyond his highly-praised Predictive Analytics, introducing proven methods for creating more specific, actionable forecasts. You’ll learn how to predict what customers will spend on a given product next year… project how many patients your hospital will admit next quarter… tease out the effects of seasonality (or patterns that recur over a day, year, or any other period)… distinguish real trends from mere “noise.” Drawing on more than 20 years of experience, Carlberg helps you master powerful techniques such as autocorrelation, differencing, Holt-Winters, backcasting, polynomial regression, exponential smoothing, and multiplicative modeling. Step by step, you’ll learn how to make the most of built-in Excel tools to gain far deeper insights from your data. To help you get better results faster, Carlberg provides downloadable Excel workbooks you can easily adapt for your own projects. If you’re ready to make better forecasts for better decision-making, you’re ready for More Predictive Analytics. Discover when and how to use smoothing instead of regression Test your data for trends and seasonality Compare sets of observations with the autocorrelation function Analyze trended time series with Excel’s Solver and Analysis ToolPak Use Holt's linear exponential smoothing to forecast the next level and trend, and extend forecasts further into the future Initialize your forecasts with a solid baseline Improve your initial forecasts with backcasting and optimization Fully reflect simple or complex seasonal patterns in your forecasts Account for sudden, unexpected changes in trends, from fads to new viral infections Use range names to control complex forecasting models more easily Compare additive and multiplicative models, and use the right model for each task

Data Analysis And Decision Making With Microsoft Excel Revised

Author: S. Christian Albright
Editor: Cengage Learning
ISBN: 0324662440
Size: 20,94 MB
Format: PDF, Mobi
Read: 863
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The emphasis of the text is on data analysis, modeling, and spreadsheet use in statistics and management science. This text contains professional Excel software add-ins. The authors maintain the elements that have made this text a market leader in its first edition: clarity of writing, a teach-by-example approach, and complete Excel integration. This edition has been revised to be compatible with Excel 2007 and the corresponding add-ins for Excel 2007. If you have moved to Excel 2007, you should use this revised 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

Author: Wayne Winston
Editor: Microsoft Press
ISBN: 1509304223
Size: 20,96 MB
Format: PDF, Docs
Read: 658
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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

Modern Business Statistics With Microsoft Excel

Author: David R. Anderson
Editor: Cengage Learning
ISBN: 0357131525
Size: 17,53 MB
Format: PDF, Mobi
Read: 470
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Develop a strong conceptual understanding of statistics and its importance in business today with MODERN BUSINESS STATISTICS WITH MICROSOFT EXCEL, 7E. This best-selling, comprehensive edition balances real-world applications with an integrated focus on the latest version of Microsoft Excel. A clear presentation develops each statistical technique in an application setting. You master statistical methodology as each easy-to-follow explanation of a statistical procedure is followed by a discussion of how to use the latest Excel to perform the procedure. Step-by-step instructions and screen images reinforce understanding. For versatility, you also learn to use Excel Online and R. More than 160 new business examples, proven methods, and application exercises show how statistics provide insights into business decisions and problems. A unique problem-scenario approach emphasizes how to apply statistical methods to practical business situations, while new case problems let you check your understanding. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Essentials Of Modern Business Statistics With Microsoft Excel

Author: David R. Anderson
Editor: Cengage Learning
ISBN: 0357131649
Size: 17,63 MB
Format: PDF
Read: 328
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Develop a strong conceptual understanding of statistics and its importance in business today with ESSENTIALS OF MODERN BUSINESS STATISTICS WITH MICROSOFT EXCEL, 8E. This best-selling essentials edition balances real-world applications with an integrated focus on the latest version of Microsoft Excel. A clear presentation develops each statistical technique in an application setting. You learn to master statistical methodology with an easy-to-follow presentation of a statistical procedure followed by a discussion of how to use Excel 2019 to perform the procedure. Step-by-step instructions and screen captures reinforce understanding. You also learn to use Excel Online and R. More than 140 new business examples and hundreds of application exercises show how statistics provide insights into today's business decisions and problems. A unique problem-scenario approach and new case problems further demonstrate how to apply statistical methods to practical business situations. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Microsoft Excel 2019 Data Analysis And Business Modeling

Author: Wayne Winston
Editor: Microsoft Press
ISBN: 9781509305889
Size: 11,19 MB
Format: PDF, Kindle
Read: 181
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Master business modeling and analysis techniques with Microsoft Excel 2019, 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.