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 And Analytics For Ordinary People First Edition Jeffrey Strickland

  • SKU: BELL-23837540
Data Science And Analytics For Ordinary People First Edition Jeffrey Strickland
$ 31.00 $ 45.00 (-31%)

0.0

0 reviews

Data Science And Analytics For Ordinary People First Edition Jeffrey Strickland instant download after payment.

Publisher: Lulu.com
File Extension: PDF
File size: 3.39 MB
Pages: 238
Author: Jeffrey Strickland
ISBN: 9781329280625, 1329280628
Language: English
Year: 2015
Edition: First Edition

Product desciption

Data Science And Analytics For Ordinary People First Edition Jeffrey Strickland by Jeffrey Strickland 9781329280625, 1329280628 instant download after payment.

Data Science and Analytics for Ordinary People is a collection of blogs I have written on LinkedIn over the past year. As I continue to perform big data analytics, I continue to discover, not only my weaknesses in communicating the information, but new insights into using the information obtained from analytics and communicating it. These are the kinds of things I blog about and are contained herein. Data science and analytics have been used as synonyms on occasion. In reality data science includes data modeling, data mining, data analysis, database architecture and so on. Analytics is what we do to make sense of the data. That is, we take data and turn it into information for business decision makers. This our course implies that we translate our data science jargon into English.

Related Products