Predictive Analytics 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Predictive Analytics

简体网页||繁体网页
Conrad Carlberg 作者
Que Publishing
译者
2012-7-12 出版日期
304 页数
USD 39.99 价格
Paperback
丛书系列
9780789749413 图书编码

Predictive Analytics 在线电子书 图书标签: 数据分析  大数据  analytics   


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发表于2024-11-23


Predictive Analytics 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Predictive Analytics 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Predictive Analytics 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



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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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