| 書(shū)目名稱 | Essentials of Excel VBA, Python, and R | | 副標(biāo)題 | Volume I: Financial | | 編輯 | John Lee,Cheng-Few Lee | | 視頻video | http://file.papertrans.cn/316/315635/315635.mp4 | | 概述 | Utilizes sample data drawn from individual stocks, stock indices, options, and futures.Offers applications in Python, R, and Excel VBA.Provides pedagogy from a business perspective, connecting statist | | 圖書(shū)封面 |  | | 描述 | 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.. | | 出版日期 | Textbook 2022Latest edition | | 關(guān)鍵詞 | Statistical Finance; Probability and Statistics in Computer Science; Quantitative Finance; Mathematical | | 版次 | 2 | | doi | https://doi.org/10.1007/978-3-031-14236-9 | | isbn_softcover | 978-3-031-14238-3 | | isbn_ebook | 978-3-031-14236-9 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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