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Essentials Excel Vba Python by Lee John (42 results)
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Essentials of Excel VBA, Python, and R: Volume I: Financial Statistics and Portfolio Analysis
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 62.52
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Essentials of Excel VBA, Python, and R: Volume II: Financial Derivatives, Risk Management and Machine Learning
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 62.52
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US$ 58.86
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US$ 138.32
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Essentials of Excel VBA, Python, and R: Volume I: Financial Statistics and Portfolio Analysis
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 133.77
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Essentials of Excel VBA, Python, and R : Volume I: Financial Statistics and Portfolio Analysis
Published by Springer International Publishing, 2023
ISBN 10: 3031142357 ISBN 13: 9783031142352
Language: English
US$ 101.42
Convert currencyUS$ 50.35 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketCondition: Hervorragend. Zustand: Hervorragend | Seiten: 712 | Sprache: Englisch | Produktart: Bücher.
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US$ 146.77
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Essentials of Excel Vba, Python, and R : Financial Statistics and Portfolio Analysis
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 133.76
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US$ 148.99
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Condition: New.
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Essentials of Excel Vba, Python, and R : Financial Statistics and Portfolio Analysis
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 144.10
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Essentials of Excel Vba, Python, and R : Volume Ii: Financial Derivatives, Risk Management and Machine Learning
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 154.83
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Essentials of Excel Vba, Python, and R : Volume Ii: Financial Derivatives, Risk Management and Machine Learning
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 166.11
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US$ 182.96
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Essentials of Excel VBA, Python, and R (Paperback)
Published by Springer International Publishing AG, Cham, 2024
ISBN 10: 3031142381 ISBN 13: 9783031142383
Language: English
US$ 141.13
Convert currencyUS$ 49.22 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: new. Paperback. 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. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Essentials of Excel Vba, Python, and R : Financial Derivatives, Risk Management and Machine Learning
US$ 184.44
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Condition: New. 2nd ed. 2023 edition.
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US$ 187.82
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US$ 185.54
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Essentials of Excel VBA, Python, and R : Volume II: Financial Derivatives, Risk Management and Machine Learning
Published by Springer International Publishing, Springer International Publishing, 2024
ISBN 10: 3031142853 ISBN 13: 9783031142857
Language: English
US$ 160.28
Convert currencyUS$ 39.47 shipping from Germany to U.S.A.Quantity: 1 available
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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Essentials of Excel Vba, Python, and R : Financial Statistics and Portfolio Analysis
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 190.75
Convert currencyUS$ 19.96 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Essentials of Excel Vba, Python, and R : Financial Derivatives, Risk Management and Machine Learning
US$ 202.37
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US$ 200.86
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Essentials of Excel Vba, Python, and R : Financial Statistics and Portfolio Analysis
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 196.42
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Essentials of Excel Vba, Python, and R : Financial Derivatives, Risk Management and Machine Learning
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 201.77
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US$ 214.52
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Essentials of Excel Vba, Python, and R : Financial Derivatives, Risk Management and Machine Learning
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 209.50
Convert currencyUS$ 19.96 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketCondition: As New. Unread book in perfect condition.
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Condition: New.
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US$ 224.01
Convert currencyUS$ 13.30 shipping from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 2nd edition. 712 pages. 10.98x8.27x1.43 inches. In Stock.
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Essentials of Excel VBA, Python, and R : Volume II: Financial Derivatives, Risk Management and Machine Learning
Published by Springer International Publishing, Springer Nature Switzerland, 2023
ISBN 10: 3031142829 ISBN 13: 9783031142826
Language: English
US$ 221.94
Convert currencyUS$ 40.89 shipping from Germany to U.S.A.Quantity: 1 available
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.
