Business Analytics
eBook - ePub

Business Analytics

Theory and Practice

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Business Analytics

Theory and Practice

About this book

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 examples

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

Information

Publisher
CRC Press
Year
2025
Print ISBN
9781032415574
Edition
1
eBook ISBN
9781040428115
Topic
Business
Subtopic
Operations
Index
Business

Table of contents

  1. Cover
  2. Half Title
  3. Title
  4. Copyright
  5. Dedication
  6. Contents
  7. Preface
  8. About the Author
  9. Chapter 1 Introduction
  10. Chapter 2 Discrete and Continuous Probability Distributions
  11. Chapter 3 Introduction to R Software
  12. Chapter 4 Introduction to Python and XLSTAT
  13. Chapter 5 Basic Statistics
  14. Chapter 6 Sampling and ANOVA
  15. Chapter 7 Multivariate Probability Distribution
  16. Chapter 8 Regression
  17. Chapter 9 Path Analysis and Discriminant Analysis
  18. Chapter 10 Principal Component Analysis and Factor Analysis
  19. Chapter 11 Structural Equation Modelling
  20. Chapter 12 Moving Average and Box-Jenkins Method
  21. Chapter 13 Time Series Models Part II
  22. Chapter 14 Mathematical Optimization Techniques
  23. Chapter 15 Dynamic Programming, Markov Analysis and Information Theory
  24. Chapter 16 Non-Linear Optimization
  25. Chapter 17 Nature-Based Techniques and Multicriteria Decision Analysis Techniques
  26. Chapter 18 Artificial Neural Network
  27. Chapter 19 Learning Rules
  28. Chapter 20 Descriptive Analytics
  29. Chapter 21 Decision Tree
  30. Chapter 22 Other Learning Techniques
  31. Chapter 23 Simulation
  32. Chapter 24 Continuous Simulation
  33. Chapter 25 Simulation Optimization
  34. Chapter 26 Data Mining and Partitioning
  35. Chapter 27 Visualization Techniques and Dimension Reduction Techniques
  36. Chapter 28 Performance Metrics
  37. Chapter 29 Additional Techniques for Diagnostic Analytics and Prescriptive Analytics
  38. Chapter 30 Implementation of Different Methodologies with R
  39. Index

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Yes, you can access Business Analytics by Susmita Bandyopadhyay in PDF and/or ePUB format, as well as other popular books in Business & Operations. We have over 1.5 million books available in our catalogue for you to explore.