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Essentials of Excel Vba, Python, and R: Volume Ii: Financial Derivatives, Risk Management and Machine Learning - Brossura
- EditoreSpringer Nature
- Data di pubblicazione2024
- ISBN 10 3031142853
- ISBN 13 9783031142857
- RilegaturaCopertina flessibile
- LinguaInglese
- Numero edizione2
- Numero di pagine540
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Essentials of Excel Vba, Python, and R : Volume Ii: Financial Derivatives, Risk Management and Machine Learning
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Essentials of Excel Vba, Python, and R : Volume Ii: Financial Derivatives, Risk Management and Machine Learning
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Essentials of Excel VBA, Python, and R
ISBN 10: 3031142853
ISBN 13: 9783031142857
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Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: 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 second volume is designed for advanced courses in financial derivatives, risk management, and machine learning and financial management. In this volume we extensively use Excel, Python, and R to analyze the above-mentioned topics. 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 first volume for dedicated content on financial statistics, and portfolio analysis. 540 pp. Englisch. Codice articolo 9783031142857
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Essentials of Excel VBA, Python, and R
Editore:
Springer, Berlin|Springer International Publishing|Springer, 2024
ISBN 10: 3031142853
ISBN 13: 9783031142857
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Brossura
Da: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 fro. Codice articolo 1531258413
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Essentials of Excel Vba, Python, and R : Volume Ii: Financial Derivatives, Risk Management and Machine Learning
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Essentials of Excel Vba, Python, and R : Volume Ii: Financial Derivatives, Risk Management and Machine Learning
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Condizione: New. Codice articolo 46842339-n
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Essentials of Excel VBA, Python, and R : Volume II: Financial Derivatives, Risk Management and Machine Learning
ISBN 10: 3031142853
ISBN 13: 9783031142857
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Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: 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 second volume is designed for advanced courses in financial derivatives, risk management, and machine learning and financial management. In this volume we extensively use Excel, Python, and R to analyze the above-mentioned topics. 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 first volume for dedicated content on financial statistics, and portfolio analysis. Codice articolo 9783031142857
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