000			02766 a2200193 4500
005			20250409144056.0
008			250407b |||||||| |||| 00| 0 eng d
020			_a9781529774092
082			_a658.403 _bABD
100			_aAbdey, James _922831
245			_aBusiness analytics: _bapplied modelling and prediction
260			_bSage Publication _aNew Delhi _c2024
300			_axxi, 674 p.
365			_aINR _b3993.64
500			_aTable of contents: Chapter 1 Decision-making Under Uncertainty Chapter 2 Descriptive Statistics Chapter 3 Data Visualisation Chapter 4 Probability Chapter 5 Probability Distributions Chapter 6 Decision Tree Analysis and Game Theory Chapter 7 Sampling and Sampling Distributions Chapter 8 Opinion Research Chapter 9 Estimation Chapter 10 Hypothesis Testing Chapter 11 Bivariate Analysis Chapter 12 Analysis of Variance Chapter 13 Linear Regression Chapter 14 Multiple Regression Chapter 15 Time-series Analysis and Forecasting Chapter 16 Discriminant Analysis Chapter 17 Factor Analysis Chapter 18 Cluster Analysis Chapter 19 Constrained Optimisation Models Chapter 20 Monte Carlo Simulation Appendix A Common Excel Functions Appendix B Compendium of Probability Distributions (https://us.sagepub.com/en-us/nam/business-analytics/book277649#contents)
520			_aAnalytical skills are in high demand but short supply. Through a unique combination of data visualisation and analytics (both theoretical and applied), this ground-breaking textbook provides you with the expertise to analyse, interpret and communicate data with confidence, to inform real-world decision-making. Key features include: • Clear signalling of introductory, intermediate and advanced content • An entire chapter dedicated to data visualisation, introducing Tableau for storytelling with data • Motivational cases throughout showing how the theory relates to real life • A wide variety of end-of-chapter exercises to test your understanding of the topics covered • Online examples and datasets to help you master your analytics skills through hands-on learning Lecturers also have access a range of online resources developed to support teaching, including a Teaching Guide, solutions to end-of-chapter exercises, PowerPoints and a testbank. Business Analytics: Applied Modelling and Prediction is suitable for undergraduate and postgraduate students of Business Analytics. This book uses Excel® and Tableau®. Dr James Abdey is an Associate Professor (Education) in Statistics at The London School of Economics and Political Science (LSE). (https://us.sagepub.com/en-us/nam/business-analytics/book277649)
650			_aBusiness analytics
942			_cBK _2ddc
999			_c9897 _d9897