Description
Book SynopsisAnalytical 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.
Dr James Abdey is an Associate Professor (Education) in Statistics at The London School of Economics and Political Science (LSE).
Table of ContentsChapter 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
