000 | 01132nam a22002057a 4500 | ||
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005 | 20241213152502.0 | ||
008 | 241213b |||||||| |||| 00| 0 eng d | ||
020 |
_a9781789804546 _qpbk. |
||
041 | _aeng | ||
082 |
_a005.7565 _bOZD |
||
100 | _aSinan Ozdemir | ||
245 |
_aPrinciples Of Data Science / _cSinan Ozdemir |
||
250 | _a2nd ed. | ||
260 |
_aBirmingham : _bPackt Publishing Ltd, _c2018. |
||
300 |
_axiii,403 p. : _bill. ; _c23cm. |
||
504 | _aIncludes index. | ||
520 | _aKey benefits Enhance your knowledge of coding with the theory for practical insight in data science and analysis More than just a math class; you’ll perform real-world data science tasks using Python Get the best insights and transform your data to get tangible value out of it Description Need to turn programming skills into effective data science skills? This book helps you connect mathematics, programming, and business analysis. You’ll feel confident asking—and answering—complex, sophisticated questions of your data, making abstract and raw statistics into actionable ideas. | ||
650 | _aData Science | ||
942 | _cENG | ||
999 |
_c214211 _d214211 |