000 | 01517nam a2200241Ia 4500 | ||
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003 | NULRC | ||
005 | 20250520103025.0 | ||
008 | 250520s9999 xx 000 0 und d | ||
020 | _a9781492088783 | ||
040 | _cNULRC | ||
050 | _aQA 76.73.S67 .T36 2021 | ||
100 |
_aTanimura, Cathy _eauthor |
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245 | 0 |
_aSQL for Data Analysis : _badvanced techniques for transforming data into insights / _cCathy Tanimura |
|
250 | _aFirst Edition | ||
260 |
_aSebastopol, California : _bO'Reilly Media, Incorporated, _cc2021 |
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300 |
_a342 pages : _billustrations ; _c24 cm. |
||
365 | _bUSD41 | ||
504 | _aIncludes index. | ||
505 | _a1. Analysis with SQL -- 2. Preparing data for analysis -- 3. Time series analysis -- 4. Cohort analysis -- 5. Text analysis -- 6. Anomaly detection -- 7. Experiment analysis -- 8. Creating complex data sets for analysis -- 9. Conclusion | ||
520 | _aWith the explosion of data, computing power, and cloud data warehouses, SQL has become an even more indispensable tool for the savvy analyst or data scientist. This practical book reveals new and hidden ways to improve your SQL skills, solve problems, and make the most of SQL as part of your workflow. You'll learn how to use both common and exotic SQL functions such as joins, window functions, subqueries, and regular expressions in new, innovative ways-- as well as how to combine SQL techniques to accomplish your goals faster, with understandable code. | ||
650 | _aMATHEMATICAL STATISTICS | ||
942 |
_2lcc _cBK |
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999 |
_c21609 _d21609 |