Business Analytics

Theory and Practice

Inbunden, Engelska, 2025

AvSusmita Bandyopadhyay,India) Bandyopadhyay, Susmita (Dept of Business Administration, Univ. Burdwan, Golapbag

3 109 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

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 presented in this book in significant detail 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 examplesThis book is aimed at senior undergraduate students in engineering and management, including business analytics and industrial engineering.

Produktinformation

Utgivningsdatum2025-12-23
Mått210 x 280 x undefined mm
Vikt1 130 g
FormatInbunden
SpråkEngelska
Antal sidor502
FörlagTaylor & Francis Ltd
ISBN9781032415574

Tillhör följande kategorier

Matematisk statistik inom Naturvetenskap och teknik
Maskinteknik och material inom Naturvetenskap och teknik
Mikroekonomi inom Ekonomi och Ledarskap
Databaser inom Data och IT
Affärsstrategi inom Ekonomi och Ledarskap

Susmita Bandyopadhyay, Ph.D. (Engineering), M.Tech. (Industrial Engineering and Management), MBA (Systems Management), MCA, B.Tech.-IT Diploma, currently serves as a faculty member in the Department of Business Administration, The University of Burdwan, West Bengal, India. This is her fifth book. The author has published significant number of research articles in reputed international journals and conference proceedings, and holds almost 24 years of teaching, industrial and research experience.

1. Introduction2. Discrete and Continuous Probability Distributions3. Introduction to R Software4. Introduction to Python and XLSTAT5. Basic Statistics6. Sampling and ANOVA7. Multivariate Probability Distribution8. Regression9. Path Model and Discriminant Analysis10. PCA and Factor Analysis11. Structural Equation Modelling12. Moving Average and Box-Jenkin’s Method13. Time Series Models Part II14. Mathematical Optimization Techniques15. Dynamic Programming, Markov Analysis, and Information Theory 16. Nonlinear Optimization17. Nature-Based Techniques and Multicriteria Decision Analysis Techniques18. Artificial Neural Network19. Learning Rules20. Descriptive Analytics21. Decision Tree 22. Other Learning Techniques 23. Simulation24. Continuous Simulation25. Simulation Optimization26. Data Mining and Partitioning27. Visualization Techniques and Dimension Reduction Techniques28. Performance Metrics29. Additional Techniques for Diagnostic Analytics and Prescriptive Analytics30. Implementation of Different Methodologies with R