Business Analytics is an emerging area which encompasses various technical understanding, essential for both Engineering and Management fields of study. This book presents detailed theoretical study of Business Analytics including analytical methods from various aspects such as descriptive and predictive analytics, statistical distributions, multivariate statistical analysis, time series analysis, simulation concept, optimization theory, neural network concepts, various learning techniques, visualization techniques, and performance metrics.

Features:

• Illustrates all the existing common analytics are presented in this book in significant details.
• Covers analytics, statistical concepts, multivariate statistical analysis, time series analysis, optimization, neural network, and decision analysis.
• Reviews various learning techniques, simulation, visualization techniques, and performance metrics.
• Puts emphasis on Python and R in context of business analytics.
• Includes figure-based, graphical descriptions along with numerical examples.

This book is aimed at senior undergraduate students in engineering and management including business analytics, and industrial engineering.