Predictive Analytics 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Predictive Analytics

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Conrad Carlberg 作者
Que Publishing
譯者
2012-7-12 出版日期
304 頁數
USD 39.99 價格
Paperback
叢書系列
9780789749413 圖書編碼

Predictive Analytics 在線電子書 圖書標籤: 數據分析  大數據  analytics   


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Predictive Analytics 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Predictive Analytics 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Predictive Analytics 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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Predictive Analytics 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Predictive Analytics 在線電子書 圖書描述

Predictive Analytics: Microsoft(R) Excel 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 Category: Spreadsheets Covers: Microsoft Office Excel

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