LEADER 00000nam a2200745   4500 
001    BEP9781953349750 
003    BEP 
005    20190417111955.0 
006    m    eo  d         
007    cr cn |||m|||a 
008    190417s2021    nyua   fob    001 0 eng d 
020    9781953349750|qe-book 
020    |z9781953349743|qprint 
035    (OCoLC)1227240983 
035    (CaBNVSL)slc00000975 
040    CaBNVSL|beng|erda|cCaBNVSL|dCaBNVSL 
049    RIDW 
050  4 HD38.7|b.H33 2021eb 
082 04 658.4013|223 
090    HD38.7|b.H33 2021eb 
100 1  Nabavi, Majid,|0https://id.loc.gov/authorities/names/
       no2007038036|eauthor. 
245 10 Introduction to business analytics /|cMajid Nabavi, David 
       L. Olson, Wesley S. Boyce. 
250    Second edition. 
264  1 New York, New York (222 East 46th Street, New York, NY 
       10017) :|bBusiness Expert Press,|c2021. 
300    1 online resource (181 pages) :|billustrations. 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
340    |gpolychrome|2rdacc 
347    text file|2rdaft 
490 1  Big data, business analytics, and smart technology 
       collection,|x2333-6757 
504    Includes bibliographical references (page 175) and index. 
505 0  Chapter 1. Business analytics -- Chapter 2. Visualization 
       -- Chapter 3. Sampling -- Chapter 4. Hypothesis testing --
       Chapter 5. Linear regression -- Chapter 6. Multiple 
       regression -- Chapter 7. Logistic regression -- Chapter 8.
       Linear programming -- Chapter 9. Business analytic 
       modeling tools. 
506    Access restricted to authorized users and institutions. 
520 3  This book is intended to present key concepts related to 
       quantitative analysis in business. It is targeted to 
       business students (both undergraduateand graduate) taking 
       an introductory core course. Business analytics has grown 
       to be a key topic in business curricula, and there is a 
       need for stronger quantitative skills and understanding of
       fundamental concepts.This second edition adds material on 
       tableau, a very useful software for business analytics. 
       This supplements the tools from Excel covered in the first
       edition, to include Data Analysis Toolpak and SOLVER. 
530    Also available in print. 
538    Mode of access: World Wide Web. 
538    System requirements: Adobe Acrobat reader. 
561    Purchased with the Phippen Library Fund. 
588    Description based on PDF viewed 12/16/2020. 
650  0 Business intelligence.|0https://id.loc.gov/authorities/
       subjects/sh85018300 
650  0 Information visualization.|0https://id.loc.gov/authorities
       /subjects/sh2002000243 
650  0 Business|xData processing.|0https://id.loc.gov/authorities
       /subjects/sh85018264 
650  0 Visual analytics.|0https://id.loc.gov/authorities/subjects
       /sh2007004134 
650  7 Business intelligence.|2fast|0https://id.worldcat.org/fast
       /842723 
650  7 Information visualization.|2fast|0https://id.worldcat.org/
       fast/973185 
650  7 Business|xData processing.|2fast|0https://id.worldcat.org/
       fast/842293 
650  7 Visual analytics.|2fast|0https://id.worldcat.org/fast/
       1743387 
653    Business analytics. 
653    Forecasting. 
653    Hypothesis testing. 
653    Knowledge management. 
653    Regression. 
653    Statistical sampling. 
655  0 Electronic books. 
700 1  Olson, David L.,|d1944-|0https://id.loc.gov/authorities/
       names/n90614506|eauthor. 
700 1  Boyce, Wesley S.,|eauthor. 
776 08 |iPrint version:|z9781953349743 
830  0 Big data, business analytics, and smart technology 
       collection.|x2333-6757 
856 40 |uhttps://rider.idm.oclc.org/login?url=https://
       portal.igpublish.com/iglibrary/search/BEPB0001041.html
       |zOnline ebook via BEP. Access restricted to current Rider
       University students, faculty, and staff. 
901    MARCIVE 20231220 
948    |d20220401|tBEP reload 277|lridw 
948    |d20210525|cBEP|tBEP2021initial 229|lridw