000			01701nam a2200217Ia 4500
003			OSt
005			20230406131219.0
008			201022s2019 xx 000 0 und d
020			_a9788126568772
040			_c0
041			_aeng
082			_a658.5 KUM
100			_aKumar, U Dinesh
245			_aBusiness analytics : _bThe science of data-driven decision making / _cKumar, U Dinesh
260			_bWiley India (P) Ltd _c2019
300			_a714
365			_b729.00 _cRs
505			_aThe book has 17 chapters and address all components of analytics such as descriptive, predictive and prescriptive analytics. The first few chapters are dedicated to foundations of business analytics. Introduction to business analytics and its components such as descriptive, predictive and prescriptive analytics along with several applications are discussed in Chapter 1. In Chapters 2 to 8, we discuss basic statistical concepts such as descriptive statistics, concept of random variables, discrete and continuous random variables, confidence interval, hypothesis testing, analysis of variance and correlation. Chapters 9 to 13 are dedicated to predictive analytics techniques such as multiple linear regression, logistic regression, decision tree learning and forecasting techniques. Clustering is discussed in Chapter 14. Chapter 15 is dedicated to prescriptive analytics in which concepts such as linear programming, integer programming, and goal programming are discussed. Stochastic models and Six Sigma are discussed in Chapters 16 and 17, respectively.
651			_aMathematical Statistics -Business Logistics _vProgramming languages (Electronic computers) _xInformation retrieval
942			_2ddc _cBK
999			_c1155 _d1155