Analyzing Business Data with Excel 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025


Analyzing Business Data with Excel

简体网页||繁体网页
Knight, Gerald 作者
Oreilly & Associates Inc
译者
2006-1 出版日期
262 页数
$ 45.19 价格
Pap
丛书系列
9780596100735 图书编码

Analyzing Business Data with Excel 在线电子书 图书标签: 数据分析  excel  Excel   


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发表于2025-03-25


Analyzing Business Data with Excel 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2025

Analyzing Business Data with Excel 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2025

Analyzing Business Data with Excel 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025



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Analyzing Business Data with Excel 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

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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; and 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.

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