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Titlebook: Excel Data Analysis; Modeling and Simulat Hector Guerrero Textbook 2019Latest edition Springer Nature Switzerland AG 2019 analysis.business

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發(fā)表于 2025-3-21 16:18:17 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Excel Data Analysis
副標(biāo)題Modeling and Simulat
編輯Hector Guerrero
視頻videohttp://file.papertrans.cn/319/318299/318299.mp4
圖書封面Titlebook: Excel Data Analysis; Modeling and Simulat Hector Guerrero Textbook 2019Latest edition Springer Nature Switzerland AG 2019 analysis.business
描述.This book offers a comprehensive and readable introduction to modern business and data analytics. It is based on the use of Excel, a tool that virtually all students and professionals have access to. The explanations are focused on understanding the techniques and their proper application, and are supplemented by a wealth of in-chapter and end-of-chapter exercises. In addition to the general statistical methods, the book also includes Monte Carlo simulation and optimization. The second edition has been thoroughly revised: new topics, exercises and examples have been added, and the readability has been further improved. The book is primarily intended for students in business, economics and government, as well as professionals, who need a more rigorous introduction to business and data analytics – yet also need to learn the topic quickly and without overly academic explanations.?.
出版日期Textbook 2019Latest edition
關(guān)鍵詞analysis; business modeling; Excel; statistical analysis; statistical methods; business; data analysis; lin
版次2
doihttps://doi.org/10.1007/978-3-030-01279-3
isbn_ebook978-3-030-01279-3
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Modeling and Simulation: Part 2,ook critical aspects of a problem. Over many years of teaching and consulting, I have observed very capable people make serious modeling errors, simply because they felt that they could approach modeling in a casual manner, thereby abandoning a systematic approach.
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發(fā)表于 2025-3-22 08:43:08 | 只看該作者
Analysis of Quantitative Data, the various tools for quantitative data analysis contained in Excel, providing us with a strong foundation and a preliminary understanding of the results of a data collection effort. Not all Excel statistical tools will be introduced, but more powerful tools will follow in later chapters.
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hat virtually all students and professionals have access to. The explanations are focused on understanding the techniques and their proper application, and are supplemented by a wealth of in-chapter and end-of-chapter exercises. In addition to the general statistical methods, the book also includes
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Flat covers and cotorsion envelopes, the various tools for quantitative data analysis contained in Excel, providing us with a strong foundation and a preliminary understanding of the results of a data collection effort. Not all Excel statistical tools will be introduced, but more powerful tools will follow in later chapters.
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