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Essentials of Excel VBA, Python, and R: Volume II: Financial Derivatives, Risk Management and Machine Learning - Hardcover
- PublisherSpringer
- Publication date2023
- ISBN 10 3031142829
- ISBN 13 9783031142826
- BindingHardcover
- LanguageEnglish
- Edition number2
- Number of pages538
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Essentials of Excel VBA, Python, and R
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Essentials of Excel Vba, Python, and R : Financial Derivatives, Risk Management and Machine Learning
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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: Volume II: Financial Derivatives, Risk Management and Machine Learning
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Essentials of Excel Vba, Python, and R : Financial Derivatives, Risk Management and Machine Learning
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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 : Financial Derivatives, Risk Management and Machine Learning
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Essentials of Excel Vba, Python, and R : Financial Derivatives, Risk Management and Machine Learning
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Essentials of Excel VBA, Python, and R
Published by
Springer International Publishing, 2023
ISBN 10: 3031142829
ISBN 13: 9783031142826
New
Hardcover
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Gebunden. Condition: 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. Seller Inventory # 668447754
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Essentials of Excel VBA, Python, and R
ISBN 10: 3031142829
ISBN 13: 9783031142826
New
Hardcover
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: 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. Seller Inventory # 9783031142826
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