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![Essentials of Excel VBA, Python, and R: Volume II: Financial Derivatives, Risk Management and Machine Learning, 2nd edition](/uploads/posts/2023-03/1679846242_4001__ss_ntials_of__xc_l_vba__python__and_r__volum__ii__2_d.jpg)
Автор: John Lee, Jow-Ran Chang, Lie-Jane Kao
Издательство: Springer
Год: 2023
Страниц: 521
Язык: английский
Формат: pdf (true)
Размер: 36.4 MB
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.