000759931 000__ 04472cam\a2200481Ii\4500 000759931 001__ 759931 000759931 005__ 20230306141940.0 000759931 006__ m\\\\\o\\d\\\\\\\\ 000759931 007__ cr\cn\nnnunnun 000759931 008__ 160809s2016\\\\caua\\\\o\\\\\001\0\eng\d 000759931 019__ $$a958448388 000759931 020__ $$a9781484205990$$q(electronic book) 000759931 020__ $$a1484205995$$q(electronic book) 000759931 020__ $$z9781484206003 000759931 035__ $$aSP(OCoLC)ocn956376270 000759931 035__ $$aSP(OCoLC)956376270$$z(OCoLC)958448388 000759931 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dIDEBK$$dEBLCP$$dGW5XE$$dOCLCO$$dN$T$$dOCLCO$$dOCLCF$$dOCLCO$$dYDX 000759931 049__ $$aISEA 000759931 050_4 $$aHF5381 000759931 08204 $$a331.702$$223 000759931 1001_ $$aGupta, Bhasker,$$eauthor. 000759931 24510 $$aInterview questions in business analytics$$h[electronic resource] /$$cBhasker Gupta. 000759931 264_1 $$a[Berkeley, CA] :$$bApress,$$c2016. 000759931 264_2 $$aNew York, NY :$$bDistributed to the book trade worldwide by Springer, 000759931 264_4 $$c©2016 000759931 300__ $$a1 online resource (xxiii, 94 pages) :$$billustrations. 000759931 336__ $$atext$$btxt$$2rdacontent 000759931 337__ $$acomputer$$bc$$2rdamedia 000759931 338__ $$aonline resource$$bcr$$2rdacarrier 000759931 500__ $$aIncludes index. 000759931 5050_ $$aAt a Glance; Contents; About the Author; About the Technical Reviewer; Acknowledgments; Introduction; Chapter 1: Introduction to Analytics; Q: What is analytics?; Q: Why has analytics become so popular today?; Q: What has led to the explosion of analytics into the mainstream?; Q: How is analytics used within e-commerce and marketing?; Q: How is analytics used within the financial industry?; Q: How is analytics used within the retail industry?; Q: How is analytics used in other industries?; Q: What are the various steps undertaken in the process of performing analytics? 000759931 5058_ $$aQ: Can you explain why it's important to have an understanding of business?Q: Why is business understanding such an integral part of analytics?; Q: What is modeling?; Q: What are optimization techniques?; Q: What is model evaluation?; Q: What is in-sample and out-of-sample testing?; Q: What are response models?; Q: What is model lift?; Q: Can you explain the deployment of an analytics model? Why is it important?; Q: How are predictive and descriptive analytics differentiated?; Q: How much can we rely on the results of analytics?; Q: Can you briefly summarize the tools used in analytics 000759931 5058_ $$aChapter 2: Data UnderstandingQ: What are the four types of data attributes?; Q: Can you explain the nominal scale in detail?; Q: What are some of the pitfalls associated with the nominal scale?; Q: Can you explain the ordinal scale in detail?; Q: What are some of the pitfalls of the ordinal scale?; Q: Where are ordinal scales most commonly used?; Q: What is meant by data coding?; Q: Can you explain the interval scale in detail?; Q: What are the two defining principles of an interval scale?; Q: What are the characteristics of the ratio scale? 000759931 5058_ $$aQ: What are the limitations of scale transformation?Q: In 2014, Forbes ranked Bill Gates as the richest man in the United States. According to what scale of measurement is this ranking?; Q: How are continuous and discrete variables differentiated?; Q: How are primary and secondary data differentiated?; Q: Broadly, what are the four methods of primary data collection?; Q: What is meant by primary data collection by observation?; Q: What is primary data collection by in-depth interviewing?; Q: What is primary data collection by focus groups? 000759931 5058_ $$aQ: What is primary data collection by questionnaires and surveys?Q: What is data sampling?; Q: What are the different types of sampling plans?; Q: What is simple random sampling?; Q: What is stratified random sampling?; Q: What is cluster sampling?; Q: What are the different errors involved in sampling?; Q: What causes a sampling error?; Q: What is a non-sampling error?; Q: What are the three types of non-sampling errors?; Q: Can you identify some errors in data acquisition?; Q: When does selection bias occur?; Q: What is data quality?; Q: What is data quality assurance? 000759931 506__ $$aAccess limited to authorized users. 000759931 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed August 15, 2016). 000759931 650_0 $$aBusiness$$xVocational guidance. 000759931 650_0 $$aInterviewing. 000759931 852__ $$bebk 000759931 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-1-4842-0599-0$$zOnline Access$$91397441.1 000759931 909CO $$ooai:library.usi.edu:759931$$pGLOBAL_SET 000759931 980__ $$aEBOOK 000759931 980__ $$aBIB 000759931 982__ $$aEbook 000759931 983__ $$aOnline 000759931 994__ $$a92$$bISE