Business analytics: applied modelling and prediction

By:

Abdey, James

Publication details: Sage Publication New Delhi 2024Description: xxi, 674 pISBN:

9781529774092

Subject(s):

Business analytics

DDC classification:

658.403 ABD

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. 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)

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	Operations Management & Quantitative Techniques	658.403 ABD (Browse shelf(Opens below))	1	Available		007914

Table 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)

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.

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)

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