000			02052nam a2200253Ia 4500
003			NULRC
005			20250308111817.0
008			241022s9999 xx 000 0 und d
020			_a9781492088783
040			_cNULRC
100			_aTanimura, Cathy _eauthor
245		0	_aSQL for data analysis / _cCathy Tanimura
250			_aFirst edition.
260			_aSebastopol, CA : _bO'Reilly Media, _c2021
365			_bUSD51.00
500			_a1 user
504			_aIncludes index.
505			_aPreface -- Chapter 1. Analysis with SQL -- Chapter 2. Preparing Data for Analysis -- Chapter 3. Time Series Analysis -- Chapter 4. Cohort Analysis -- Chapter 5. Text Analysis -- Chapter 6. Anomaly Detection -- Chapter 7. Experiment Analysis -- Chapter 8. Creating Complex Data Sets for Analysis -- Chapter 9. Conclusion -- Index.
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. If you work with SQL databases, this is a must-have reference.Learn the key steps for preparing your data for analysisPerform time series analysis using SQL's date and time manipulationsUse cohort analysis to investigate how groups change over timeUse SQL's powerful functions and operators for text analysisDetect outliers in your data and replace them with alternate valuesEstablish causality using experiment analysis, also known as A/B testing.
650			_aMATHEMATICAL STATISTICS
650			_aSQL (COMPUTER PROGRAM LANGUAGE)
856			_uhttps://research.ebsco.com/c/nahjoz/search/details/cf6zb3h2tf?db=nlebk&db=nlabk
942			_2lcc _cEL
999			_c661 _d661