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

Data Science For Business And Decision Making An Introductory Text For Students And Practitioners Seyed Ali Fallahchay Author

  • SKU: BELL-33362696
Data Science For Business And Decision Making An Introductory Text For Students And Practitioners Seyed Ali Fallahchay Author
$ 31.00 $ 45.00 (-31%)

5.0

58 reviews

Data Science For Business And Decision Making An Introductory Text For Students And Practitioners Seyed Ali Fallahchay Author instant download after payment.

Publisher: Arcler Press
File Extension: PDF
File size: 7.16 MB
Pages: 277
Author: Seyed Ali Fallahchay (Author)
ISBN: 9781774076217, 1774076217
Language: English
Year: 2020

Product desciption

Data Science For Business And Decision Making An Introductory Text For Students And Practitioners Seyed Ali Fallahchay Author by Seyed Ali Fallahchay (author) 9781774076217, 1774076217 instant download after payment.

This book explores the principles underpinning data science. It considers the how and why of modern data science. The book goes further than existing books by applying data to decision making. Not only is the book useful for undergraduates, but it can also help business owners in improving their decision making. Using real life examples, this book explores the possibilities and limitations of an information-based decision making framework.

Related Products