000			01732nam a22002777i 4500
005			20250722161648.0
008			250722s2022 ii ao||fr|||| 00| 0 eng d
020			_a9789391392734
040			_aEG-GaU‬‬ _cEG-GaU‬‬ _dEG-GaU‬‬ _erda
082	0	4	_223 _a006.3 _bc.r.b.
100	1		_aChitoria, Rajinder Kr., _eauthor. _960468
245	1	0	_aBusiness analytics with SAS Studio : _bdeliver business intelligence by combining SQL processing, insightful visualizations, and various data mining techniques / _cRajinder Kr. Chitoria.
250			_a 1st edition.
264		1	_aIndia : _bBPB Publications, _c2022.
300			_a300 pages : _billustrations ; _c24 cm.
336			_2rdacontent _atext _btxt
337			_2rdamedia _aunmediated _bn
338			_2rdacarrier _avolume _bnc
504			_aIncludes bibliographical references.
505			_a1. Introducing SAS environment ‡ 2. Starting with SAS programming ‡ 3. Data mining and storage techniques in SAS ‡ 4. Controlling program flow in SAS ‡ 5. Using SAS built-in functions ‡ 6. Working with advanced data input techniques ‡ 7. Getting started with SQL processing in SAS ‡ 8. Managing database tables in SAS ‡ 9. Working with dataset in SAS ‡ 10. Data visualization and macro programming with SAS ‡ 11. Case study.
520			_aA practical guide to using SAS Studio for business analytics: SQL processing, data mining, built-in functions, advanced data input, visualization with PROC SGPLOT, and a real-world case study. Ideal for data professionals and students. :contentReference[oaicite:1]{index=1}
650		0	_aBusiness intelligence. _94514
650		0	_aData mining.
942			_2ddc _cBK
999			_c11083 _d11083