Excel Data Analysis Modeling and Simulation /

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 s...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Guerrero, Hector (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
Έκδοση:2nd ed. 2019.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Guerrero, Hector.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Excel Data Analysis  |h [electronic resource] :  |b Modeling and Simulation /  |c by Hector Guerrero. 
250 |a 2nd ed. 2019. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2019. 
300 |a XIX, 346 p. 215 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
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505 0 |a Introduction to Spreadsheet Modeling -- Presentation of Quantitative Data - Data Visualization -- Analysis of Quantitative Data - Data Visualization -- Presentation of Qualitative Data -- Analysis of Qualitative Data -- Inferential Statistical Analysis of Data -- Modeling and Simulation: Part I -- Modeling and Simulation: Part II -- Solver, Scenarios, and Goal Seek Tools. 
520 |a 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. . 
650 0 |a Operations research. 
650 0 |a Decision making. 
650 0 |a Probabilities. 
650 0 |a Statistics . 
650 0 |a Organization. 
650 0 |a Planning. 
650 0 |a Business mathematics. 
650 0 |a Information technology. 
650 0 |a Business-Data processing. 
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650 2 4 |a Statistics for Business, Management, Economics, Finance, Insurance.  |0 http://scigraph.springernature.com/things/product-market-codes/S17010 
650 2 4 |a Organization.  |0 http://scigraph.springernature.com/things/product-market-codes/516000 
650 2 4 |a Business Mathematics.  |0 http://scigraph.springernature.com/things/product-market-codes/523000 
650 2 4 |a IT in Business.  |0 http://scigraph.springernature.com/things/product-market-codes/522000 
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912 |a ZDB-2-BUM 
950 |a Business and Management (Springer-41169)