| 000 | 01512nam a22002777a 4500 | ||
|---|---|---|---|
| 008 | 240103s2022 |||||||| |||| 00| 0 eng d | ||
| 020 | _a9781801812870 | ||
| 022 | _l9781801812870 | ||
| 041 | _aeng | ||
| 082 |
_a005.133 _bSHA |
||
| 100 |
_aShan, Jun _9108314 _eAU |
||
| 245 | _aSQL for Data Analytics Harness the Power of SQL to Extract Insights from Data | ||
| 250 | _a3rd | ||
| 260 |
_aBirmingham, UK : _bPackt Publishing, _cc2022 |
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| 300 |
_axxxi, 484 p. _b: ill |
||
| 504 | _aYY | ||
| 520 | _aSUMMARY If you're a database engineer looking to transition into analytics or a backend engineer who wants to develop a deeper understanding of production data and gain practical SQL knowledge, you will find this book useful. This book is also ideal for data scientists or business analysts who want to improve their data analytics skills using SQL. Basic familiarity with SQL (such as basic SELECT, WHERE, and GROUP BY clauses) as well as a good understanding of linear algebra, statistics, and PostgreSQL 14 are necessary to make the most of this SQL data analytics book. | ||
| 650 | 0 |
_9844 _aData Mining |
|
| 650 | 0 |
_9145617 _aSQL Computer Program Language |
|
| 700 |
_eAU _aGoldwasser, Matt _9879551 |
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| 700 |
_eAU _aMalik, Upom _9879552 |
||
| 700 |
_eAU _aJohnston, Benjamin _9663887 |
||
| 856 |
_yTOC _uhttps://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9781801812870.pdf |
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| 856 |
_yWEB LINK _uhttps://www.oreilly.com/library/view/sql-for-data/9781801812870/ |
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| 942 |
_2ddc _cBOO |
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| 999 |
_c814509 _d814509 |
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