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Published by Springer International Publishing, 2023
ISBN 10: 3031142357 ISBN 13: 9783031142352
Language: English
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Condition: New. 2nd ed. 2023 edition.
Seller: Majestic Books, Hounslow, United Kingdom
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Published by Springer International Publishing, Springer International Publishing, 2024
ISBN 10: 3031142853 ISBN 13: 9783031142857
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketTaschenbuch. Condition: 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.
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Published by Springer International Publishing, Springer Nature Switzerland Mär 2024, 2024
ISBN 10: 3031142853 ISBN 13: 9783031142857
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Add to basketTaschenbuch. Condition: Neu. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 540 pp. Englisch.
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Add to basketPaperback. Condition: Brand New. 2nd edition. 712 pages. 10.98x8.27x1.43 inches. In Stock.
Published by Springer International Publishing, Springer Nature Switzerland, 2023
ISBN 10: 3031142829 ISBN 13: 9783031142826
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
US$ 231.05
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Add to basketBuch. Condition: 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.
Published by Springer International Publishing, Springer International Publishing Mär 2023, 2023
ISBN 10: 3031142829 ISBN 13: 9783031142826
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
US$ 231.05
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Add to basketBuch. Condition: Neu. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 540 pp. Englisch.
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Add to basketHardcover. Condition: Brand New. 2nd edition. 538 pages. 9.25x6.10x1.22 inches. In Stock.
Published by Springer Nature B.V., 2023
ISBN 10: 3031142845 ISBN 13: 9783031142840
Language: English
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Published by Springer Nature B.V., 2023
ISBN 10: 3031142845 ISBN 13: 9783031142840
Language: English
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Published by Springer Nature B.V., 2023
ISBN 10: 3031142373 ISBN 13: 9783031142376
Language: English
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Published by Springer Nature B.V., 2023
ISBN 10: 3031142373 ISBN 13: 9783031142376
Language: English
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Published by Springer, Berlin|Springer International Publishing|Springer, 2024
ISBN 10: 3031142381 ISBN 13: 9783031142383
Language: English
Seller: moluna, Greven, Germany
US$ 128.47
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Add to basketCondition: 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 fr.
Published by Springer International Publishing, Springer International Publishing Mär 2024, 2024
ISBN 10: 3031142853 ISBN 13: 9783031142857
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
US$ 166.86
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Add to basketTaschenbuch. 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.
Published by Springer, Berlin|Springer International Publishing|Springer, 2024
ISBN 10: 3031142853 ISBN 13: 9783031142857
Language: English
Seller: moluna, Greven, Germany
US$ 138.74
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Add to basketCondition: 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.
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