000			03170nam a2200685 i 4500
001			11394141
003			CaPaEBR
005			20241023114851.0
006			m eo d
007			cr cn |||m|||a
008			170610s2017 nyua foab 001 0 eng d
020			_a9781631574863 _qe-book
035			_a(BEP)4850834
035			_a(OCoLC)990090398
035			_a(CaBNVSL)swl00407492
040			_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL
050		4	_aHF1017
100	1		_aHerkenhoff, Linda, _eauthor.
245	1	0	_aAnalytics boot camp : _bbasic analytics for business students and professionals / _cLinda Herkenhoff and John Fogli.
250			_aFirst edition.
264		1	_aNew York, New York (222 East 46th Street, New York, NY 10017) : _bBusiness Expert Press, _c[(c)2017.]
300			_a1 online resource (x, 154 pages) : _billustrations.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_adata file _2rda
490	1		_aBig data and business analytics collection, _x2333-6757
500			_aIncludes index.
505	0		_a1. The basics -- _t2. Basic charts -- _t3. Summarizing data -- _t4. Survey design -- _t5. Sampling -- _t6. Correlation -- _t7. Simple linear regression -- _tIndex.
506			_aAccess restricted to authorized users and institutions.
520	3		_aThis book was written for those who want basic understanding of how to use analytics in the business world without all the details of statistical theory. The focus is on providing clear word descriptions and step-by-step Excel instructions, rather than including lots of x's and y's everywhere. We have specifically avoided including a lot of technical information. This book was written for the managers and students who may need a quick refresher on how to complete Excel analysis without having to read pages of technical explanations. We have aimed at concisely defining the key concepts and providing simple descriptions and explanations on how to use them.
530			_a2 _ub
530			_aAlso available in printing.
538			_aMode of access: World Wide Web.
538			_aSystem requirements: Adobe Acrobat reader.
588			_aTitle from PDF title page (viewed on June 10, 2017).
630	0	0	_aMicrosoft Excel (Computer file)
650		0	_aCommercial statistics _xData processing.
653			_acoding
653			_aconfidence intervals
653			_acorrelation
653			_adescriptive statistics
653			_amean
653			_amedian
653			_amode
653			_anormal distributions
653			_aregression
653			_areporting
653			_asampling
653			_asignificance
653			_astandard deviation
653			_asurvey design
655		0	_a[genre]
655		0	_aElectronic books.
700	1		_aFogli, John, _eauthor.
776	0	8	_iPrint version: _z9781631574856
830		0	_aBig data and business analytics collection. _x2333-6757
856	4	0	_uhttps://go.openathens.net/redirector/ciu.edu?url=https://portal.igpublish.com/iglibrary/search/BEPB0000592.html
942			_2lcc _bCIU _cOB _eBEP _QOL _zBEP11394141
999			_c72715 _d72715
902			_c1 _dCynthia Snell