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Download Analyzing Business Data with Excel: Forecasting, Statistics, and Data Management fb2, epub

by Gerald Knight

Download Analyzing Business Data with Excel: Forecasting, Statistics, and Data Management fb2, epub

ISBN: 0596100736
Author: Gerald Knight
Language: English
Publisher: O'Reilly Media; 1 edition (January 13, 2006)
Pages: 266
Category: Management & Leadership
Subcategory: Money
Rating: 4.5
Votes: 619
Size Fb2: 1642 kb
Size ePub: 1589 kb
Size Djvu: 1939 kb
Other formats: txt azw lrf lrf


Электронная книга "Analyzing Business Data with Excel: Forecasting, Statistics, and Data Management", Gerald Knight.

Электронная книга "Analyzing Business Data with Excel: Forecasting, Statistics, and Data Management", Gerald Knight. Эту книгу можно прочитать в Google Play Книгах на компьютере, а также на устройствах Android и iOS. Выделяйте текст, добавляйте закладки и делайте заметки, скачав книгу "Analyzing Business Data with Excel: Forecasting, Statistics, and Data Management" для чтения в офлайн-режиме.

Gerald Knight has nearly 30 years experience in the computer industry as a developer, teacher, and consultant. So many books come at business problems from the perspective of a specific feature in the product. During an over twenty-year career at FedEx, he was a project leader and system architect working on imaging and revenue control systems. He has specialized in Excel development for the last ten years. This book teaches the solution to a complex business data analysis problem through use of the features in Excel. Excellent! It's a small book.

Forecasting, Statistics, and Data Management. Gerald Knight has nearly 30 years experience in the computer industry as a developer, teacher, and consultant.

It addresses the growing Excel data analysis market head o. Aimed primarily at experienced Excel users, the book doesn't spend much time on the basics

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.

Most things depen. Selection from Analyzing Business Data with Excel In this chapter we look at using Excel to model a complex situation

Most things depen. Selection from Analyzing Business Data with Excel In this chapter we look at using Excel to model a complex situation. We consider selecting independent data items and preparing them for use. It is not always easy to decide what value to predict, so we examine this process. Finally, we go through the steps and techniques needed to build a working model. For more complex kinds of problems, a technique called regression is used. Excel has a regression tool from Tools → Data Analysis → Regression. If Data Analysis is not showing up on the Tools menu, select Add-Ins and check Analysis ToolPak. The first example predicts a stock price.

2010: Data Analysis and. Business Modeling. ness modeling and data. Microsoft Excel Data Analysis For Dummies (3rd E. - Wiley. 97 MB·9,646 Downloads·New!. Frontiers in Massive Data Analysis. 59 MB·42,815 Downloads·New! of the phenomena underlying the data Excel Data Analysis. 28 MB·48,983 Downloads. Modeling and Pages 19-54 Microsoft Excel 2016 Step by Step.

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.

Business forecasting is more structured At the end of the chapter we will have a complete Excel application for .

Business forecasting is more structured. There are specific techniques to model the relationships between present information and a future value. Few forecasts are exactly right. Some error is expectedsome difference between the forecast and the actual value. At the end of the chapter we will have a complete Excel application for predicting workload. Since this is the first application in the book, we will take a detailed look at the entire process, beginning with the Excel functions and features used to create the application. The application uses the Excel functions listed in Table 3-1. Most of these functions are discussed as we encounter them in the application.

Books for People with Print Disabilities. Internet Archive Books. Uploaded by Lotu Tii on May 30, 2013

O'Reilly Media, Inc. Collection. inlibrary; printdisabled; ; china. Books for People with Print Disabilities. Uploaded by Lotu Tii on May 30, 2013. SIMILAR ITEMS (based on metadata). Terms of Service (last updated 12/31/2014).

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:

StatisticsPivot tablesWorkload forecastingModelingMeasuring qualityMonitoring complex systemsQueuingOptimizingImporting 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.

Comments:

one life
The book has errors in its formulas. Even the data sets used throughout the book cannot be found on the book's website. It is also very dull to read. I feel like I am reading a dictionary or reference book. It could be better if they contained updates that fixes the errors in its formulas, provided exercise problems to practice all the Excel skills it tries to teach you, and provided a CD or website location that contains all the data for the examples the book uses. It should try to relate its examples to real world problems or projects that you would actually use in a job situation. For example, the book can try to build several Excel models, with each chapter building a function or module of the overall model. All in all, I would not recommend the book. I'm surprised all 5 reviews thus far has given it 5 stars. It makes me say hmmmmmmm.
Error parents
Overall this is a good book, but it would be much nicer if they provided Excel worksheets with the data used in the book's examples. Some sample code is provided for dowload on Oreilly's website, but this does not include example data. Nonetheless, the book is worth looking at.
Ironfire
I absolutely love this book and use it daily as a reference guide. It is amazing and a constant source of inspiration. Buy it!
Vetibert
I like the viewpoint of this book; I have a business problem, now how do I attack that in Excel? So many books come at business problems from the perspective of a specific feature in the product. This book teaches the solution to a complex business data analysis problem through use of the features in Excel. Excellent!

It's a small book. The text is a little terse, but that's ok. Screenshots are used sparingly.

If what you want is a feature by feature breakdown of Excel then this book isn't for you. But if what you have is some data that you need to crunch and you don't know much about Excel then check this book out.

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