logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Essentials Of Excel Vba Python And R Volume I Financial Statistics And Portfolio Analysis 2nd Ed 2022 Lee

  • SKU: BELL-48813742
Essentials Of Excel Vba Python And R Volume I Financial Statistics And Portfolio Analysis 2nd Ed 2022 Lee
$ 31.00 $ 45.00 (-31%)

0.0

0 reviews

Essentials Of Excel Vba Python And R Volume I Financial Statistics And Portfolio Analysis 2nd Ed 2022 Lee instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 68.68 MB
Pages: 712
Author: Lee, John, Lee, Cheng-Few
ISBN: 9783031142352, 3031142357
Language: English
Year: 2023
Edition: 2nd ed. 2022

Product desciption

Essentials Of Excel Vba Python And R Volume I Financial Statistics And Portfolio Analysis 2nd Ed 2022 Lee by Lee, John, Lee, Cheng-few 9783031142352, 3031142357 instant download after payment.

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.

Related Products