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9781529774092 Academic Inspection Copy

Business Analytics

Applied Modelling and Prediction
  • ISBN-13: 9781529774092
  • Publisher: SAGE PUBLICATIONS
    Imprint: SAGE PUBLICATIONS
  • By James Abdey
  • Price: AUD $141.00
  • Stock: 0 in stock
  • Availability: This book is temporarily out of stock, order will be despatched as soon as fresh stock is received.
  • Local release date: 15/11/2023
  • Format: Paperback (246.00mm X 189.00mm) 704 pages Weight: 1460g
  • Categories: Research & development management [KJMV6]
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Analytical 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: * Difficulty indicators for each chapter signalling 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 datasets to help you master your analytics skills through hands-on learning * Accompanying screencasts to demonstrate key terms computationally Lecturers also haveaccess a range of online resources developed to support teaching, including a Teaching Guide, PowerPoints, a testbank and carefully selected content from the SAGE Business Cases platform. Business Analytics: Applied Modelling and Prediction is suitable for undergraduate and postgraduate students of Business Analytics. Dr James Abdey is an Associate Professor (Education) in Statistics at The London School of Economics and Political Science (LSE).
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
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