Gebunden. Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Utilizes sample data drawn from individual stocks, stock indices, options, and futuresOffers applications in Python, R, and Excel VBAProvides pedagogy from a business perspective, connecting statistical concepts to a business context. N� de ref. del art�culo: 668447742

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Essentials of Excel Vba, Python, and R : Financial Statistics and Portfolio Analysis

Lee, John; Lee, Cheng-Few

Publicado por Springer, 2023

ISBN 10: 3031142357 ISBN 13: 9783031142352

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Librería: GreatBookPricesUK, Woodford Green, Reino Unido

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Condici�n: New. N� de ref. del art�culo: 45696762-n

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Essentials of Excel VBA, Python, and R

Cheng-Few Lee

Publicado por Springer International Publishing, Springer International Publishing Jan 2023, 2023

ISBN 10: 3031142357 ISBN 13: 9783031142352

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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania

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Buch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This advanced textbook for business statistics teaches, statistical analyses and research methods utilizing business case studies and financial data, with the applications of Excel VBA, Python and R. Each chapter engages the reader with sample data drawn from individual stocks, stock indices, options, and futures. Now in its second edition, it has been expanded into two volumes, each of which is devoted to specific parts of the business analytics curriculum. To reflect the current age of data science and machine learning, the used applications have been updated from Minitab and SAS to Python and R, so that readers will be better prepared for the current industry.This first volume is designed for advanced courses in financial statistics, investment analysis and portfolio management. It is also a comprehensive reference for active statistical finance scholars and business analysts who are looking to upgrade their toolkits. Readers can look to the second volume for dedicated content on financial derivatives, risk management, and machine learning. 712 pp. Englisch. N� de ref. del art�culo: 9783031142352

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Essentials of Excel Vba, Python, and R : Financial Statistics and Portfolio Analysis

Lee, John; Lee, Cheng-Few

Publicado por Springer, 2023

ISBN 10: 3031142357 ISBN 13: 9783031142352

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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America

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Condici�n: New. N� de ref. del art�culo: 45696762-n

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Essentials of Excel VBA, Python, and R: Volume I: Financial Statistics and Portfolio Analysis: 1

Lee, John; Lee, Cheng-Few

Publicado por Springer, 2023

ISBN 10: 3031142357 ISBN 13: 9783031142352

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Librería: Books Puddle, New York, NY, Estados Unidos de America

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Condici�n: New. N� de ref. del art�culo: 26395228387

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Essentials of Excel VBA, Python, and R : Volume I: Financial Statistics and Portfolio Analysis

Cheng-Few Lee

Publicado por Springer International Publishing, Springer Nature Switzerland, 2023

ISBN 10: 3031142357 ISBN 13: 9783031142352

Nuevo Tapa dura

Librería: AHA-BUCH GmbH, Einbeck, Alemania

Calificaci�n del vendedor: 5 de 5 estrellas

Buch. Condici�n: Neu. Druck auf Anfrage Neuware - Printed after ordering - This advanced textbook for business statistics teaches, statistical analyses and research methods utilizing business case studies and financial data, with the applications of Excel VBA, Python and R. Each chapter engages the reader with sample data drawn from individual stocks, stock indices, options, and futures. Now in its second edition, it has been expanded into two volumes, each of which is devoted to specific parts of the business analytics curriculum. To reflect the current age of data science and machine learning, the used applications have been updated from Minitab and SAS to Python and R, so that readers will be better prepared for the current industry.This first volume is designed for advanced courses in financial statistics, investment analysis and portfolio management. It is also a comprehensive reference for active statistical finance scholars and business analysts who are looking to upgrade their toolkits. Readers can look to the second volume for dedicated content on financial derivatives, risk management, and machine learning. N� de ref. del art�culo: 9783031142352

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