Business analytics : applied modelling and prediction / James Abdey.

By: Abdey, James
Language: English Publisher: London : Sage, 2024Description: xxi, 674 pages : illustrations (some color), charts ; 26 cmContent type: text | still image Media type: unmediated Carrier type: volumeISBN: 9781529774092; 1529774098; 1529774101; 9781529774108Subject(s): Statistics | Decision making -- Statistical methods | Decision making -- Mathematical models | Business forecasting | Predictive analyticsDDC classification: 658.4033 LOC classification: HD30.28 | .A234 2024x
Contents:
Acknowledgements -- About the author -- Preface -- Online resources -- Decision-making under uncertainty -- Descriptive statistics -- Data visualisation -- Probability -- Probability distributions -- Decision tree analysis and game theory -- Sampling and sampling distributions -- Opinion research -- Estimation -- Hypothesis testing -- Bivariate analysis -- Analysis of variance -- Linear regression -- Multiple regression -- Time-series analysis and forecasting -- Discriminant analysis -- Factor analysis -- Cluster analysis -- Constrained optimisation models -- Monte Carlo simulation -- Appendix A: Common Excel functions -- Appendix B: Compendium of probability distributions -- Index.
Summary: "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: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."--from back cover.
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Includes index.

Acknowledgements -- About the author -- Preface -- Online resources -- Decision-making under uncertainty -- Descriptive statistics -- Data visualisation -- Probability -- Probability distributions -- Decision tree analysis and game theory -- Sampling and sampling distributions -- Opinion research -- Estimation -- Hypothesis testing -- Bivariate analysis -- Analysis of variance -- Linear regression -- Multiple regression -- Time-series analysis and forecasting -- Discriminant analysis -- Factor analysis -- Cluster analysis -- Constrained optimisation models -- Monte Carlo simulation -- Appendix A: Common Excel functions -- Appendix B: Compendium of probability distributions -- Index.

"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: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."--from back cover.

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