000			02302nam\a2200373\a\4500
001			57895
005			20260708095103.0
008			260708t20232023caua b 001 0 eng d
020			_a9781098113001 _qpaperback
040			_aQT4 _beng _erda _cQT4 _dBDX _dJRZ _dOCLCO _dOCLCF _dOCLCO _dYDX _dBD-DhIUB
082	0	4	_a006.312 _223 _bL3661l
100	1		_aLau, Sam _c(Professor), _eauthor.
245	1	0	_aLearning data science : _bdata wrangling, exploration, visualization, and modeling with Python / _cSam Lau, Joseph Gonzalez & Deborah Nolan.
250			_aFirst edition.
260			_aUSA: _bO'Reilly Media, Inc., _c2023
300			_axx, 573 pages : _billustrations ; _c24 cm
504			_aIncludes bibliographic references and index.
520			_aAs an aspiring data scientist, you appreciate why organizations rely on data for important decisions--whether it's for companies designing websites, cities deciding how to improve services, or scientists discovering how to stop the spread of disease. And you want the skills required to distill a messy pile of data into actionable insights. We call this the data science lifecycle: the process of collecting, wrangling, analyzing, and drawing conclusions from data. Learning Data Science is the first book to cover foundational skills in both programming and statistics that encompass this entire lifecycle. It's aimed at those who wish to become data scientists or who already work with data scientists, and at data analysts who wish to cross the "technical/nontechnical" divide. If you have a basic knowledge of Python programming, you'll learn how to work with data using industry-standard tools like pandas.--
526			_aCSE _bps _lREF
541			_aOmni concept
650		0	_aData mining.
650		0	_aInformation retrieval.
650		0	_aDatabases.
650		0	_aInformation technology.
650		0	_aPython (Computer program language)
650		6	_aPython (Langage de programmation)
650		6	_aExploration de données (Informatique)
650		7	_aData mining _2fast
650		7	_aPython (Computer program language) _2fast
700	1		_aGonzalez, Joseph _c(Professor), _eauthor.
700	1		_aNolan, Deborah Ann, _d1955- _eauthor.
942			_2ddc _cBK
999			_c57895 _d58069