000			01742nam a2200217 4500
008			180528b xxu||||| |||| 00| 0 eng d
020			_a9781466591653
082			_a658.472 _bBAS
100			_aBasu, Ayanendranath
245			_aA user's guide to business analytics
260			_aBoca Raton, FL _bCRC Press _c2016
300			_axvi, 384 pages: illustrations; 25 cm
520			_aA User's Guide to Business Analytics provides a comprehensive discussion of statistical methods useful to the business analyst. Methods are developed from a fairly basic level to accommodate readers who have limited training in the theory of statistics. A substantial number of case studies and numerical illustrations using the R-software package are provided for the benefit of motivated beginners who want to get a head start in analytics as well as for experts on the job who will benefit by using this text as a reference book. The book is comprised of 12 chapters. The first chapter focuses on business analytics, along with its emergence and application, and sets up a context for the whole book. The next three chapters introduce R and provide a comprehensive discussion on descriptive analytics, including numerical data summarization and visual analytics. Chapters five through seven discuss set theory, definitions and counting rules, probability, random variables, and probability distributions, with a number of business scenario examples. These chapters lay down the foundation for predictive analytics and model building.
650			_aDecision making
650			_aBusiness planning
650			_aStatistical methods
650			_aR [Computer program language]
650			_aData mining
700			_aBasu, Srabashi
942			_2ddc _cB
999			_c601717 _d601717