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Business Analytics

Applied Modelling and Prediction

James Abdey

$312

Hardback

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English
Sage Publications Ltd
29 November 2023
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).

By:  
Imprint:   Sage Publications Ltd
Country of Publication:   United Kingdom
Dimensions:   Height: 246mm,  Width: 189mm, 
Weight:   1.640kg
ISBN:   9781529774108
ISBN 10:   1529774101
Pages:   704
Publication Date:  
Audience:   College/higher education ,  Primary
Format:   Hardback
Publisher's Status:   Active
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

Dr James Abdey is an Associate Professorial Lecturer (Education) in Statistics having gained his PhD in 2010 from LSE, asking `To p, or not to p?′! He teaches the Department′s large service-level undergraduate courses in mathematical statistics and quantitative methods, as well as elective courses in market research. His research interests include market research techniques and forensic statistics - the interplay of statistics and the law. James has been closely involved with the University of London International Programmes for a number of years, for which he serves as Associate Academic Director, and helped launch the BSc Data Science and Business Analytics programme. James is a Convenor for some courses in the LSE Online portfolio of programmes, and lectures during LSE′s Summer School. Outside of academia, he has also worked on various quantitative-based consultancy projects in areas including the art market and the World Gold Council. Answer: p. With probability 1.

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