000			01266cam a2200301 i 4500
001			17984396
005			20141112114315.0
008			131226t20142014inua 001 0 eng c
010			_a 2013958300
016	7		_a016612334 _2Uk
020			_a9781118810088
035			_a(OCoLC)ocn859179846
040			_aBTCTA _beng _cBTCTA _erda _dBDX _dUKMGB _dSINLB _dVP@ _dYDXCP _dOSU _dDLC
042			_apcc
050	0	0	_aQA76.9.D343 _bG754 2014
082	0	0	_a005.74023 _223 _bGRA
100	1		_aGranville, Vincent _c(Ph. D.), _eauthor.
245	1	0	_aDeveloping analytic talent : _bbecoming a data scientist / _cVincent Granville
260			_aIndianapolis : _bWiley, _cc2014.
300			_axxv, 310 p. : _bill. ; _c24 cm
500			_aIncludes index.
505			_a1. What is data science? -- 2. Big data is different -- 3. Becoming a data scientist -- 4. Data science craftsmanship, Part 1 -- 5. Data science craftsmanship. Part 2 -- 6. Data science application case studies -- 7. Launching your new data science career -- 8. Data science resources -- Index.
650		0	_aBig data.
650		0	_aData mining. _91750
650		0	_aDatabase management _xVocational guidance.
650		0	_aElectronic data processing consultants _xVocational guidance.
942			_2ddc _cBK
999			_c7214 _d7214