| 000 | 01329nam a22003375i 4500 | ||
|---|---|---|---|
| 001 | 833 | ||
| 003 | MBIP | ||
| 005 | 20241021103424.0 | ||
| 008 | 210802s2021 inu 000 0 eng | ||
| 010 | _a 2021944259 | ||
| 020 |
_a9781119811558 _qpaperback _cRM 147.95 |
||
| 020 |
_z9781119811664 _q(adobe pdf) |
||
| 020 |
_z9781119811619 _q(epub) |
||
| 040 |
_aDLC _beng _cMBIP _dIZF _erda |
||
| 042 | _apcc | ||
| 082 | 0 | 4 |
_a006.312 _bLIL |
| 100 | 1 |
_aPierson, Lillian, _eauthor. |
|
| 245 | 1 | 0 |
_aData Science For Dummies 3rd Edition / _cLillian Pierson. |
| 250 | _a3. | ||
| 263 | _a2109 | ||
| 264 | 1 |
_aIndianapolis : _bJohn Wiley and Sons, _c2021. |
|
| 300 |
_a416 pages ; _bIllustration ; _c24 cm ; |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_aunmediated _bn _2rdamedia |
||
| 338 |
_avolume _bnc _2rdacarrier |
||
| 520 | _aData Science For Dummies, 3rd Edition is the perfect starting point for IT professionals and students who want a quick primer on the subject. It explores topics in big data, data science, and data engineering, and how these three areas are combined to produce value. Readers will learn from real-world examples and applications. | ||
| 650 | 0 | _aElectronic computers | |
| 650 | 1 | _aComputer science—Mathematics | |
| 650 | 2 | _aElectronic data processing—Structured techniques | |
| 942 |
_2ddc _cBK _n0 |
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| 999 |
_c833 _d833 |
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