Review: Business Analytics 3rd Edition by James Evans

Business Analytics 3rd Edition by James Evans: A Comprehensive Review

Data analytics has revolutionized the way businesses make decisions. The ability to retrieve, analyze, and interpret vast amounts of data has enabled organizations to make informed decisions and stay ahead of the competition. And with the growing demand for data-savvy professionals, it’s no surprise that the field of business analytics is expanding rapidly.

One of the must-read books for anyone interested in business analytics is the third edition of “Business Analytics” by James Evans. In this book, Evans provides comprehensive coverage of all the essential topics in the field of business analytics. This book has been highly acclaimed for its detailed explanations, practical cases, and real-world examples.

Part one of the book introduces the fundamental concepts of business analytics, data visualization, and statistical inference. The section covers descriptive statistics, probability, and data visualization using graphs and charts. Additionally, there are chapters on correlation and regression analysis, the Monte Carlo simulation, and hypothesis testing.

Part two of the book covers predictive modeling, including linear and logistic regression models, time-series analysis, and data mining techniques such as clustering, association rules, and decision trees. The chapter on machine learning is particularly impressive, providing practical examples of supervised and unsupervised learning techniques such as decision trees and naïve Bayes.

Part three focuses on optimization models, including linear programming, integer programming, and network optimization. The book provides an in-depth treatment of these topics with practical examples and real-world cases.

Part four concludes the book with coverage of decision analysis, simulation, and risk analysis. This section provides practical examples of how to use business analytics to make decisions in organizations and highlights the importance of risk analysis for data-driven decision making.

The relevance of this book extends beyond the classroom and is particularly useful for professionals looking to expand their analytical skills. The cases presented in the book are relevant and provide practical scenarios of how to apply business analytics to solve real-world problems.

In conclusion, Business Analytics 3rd Edition by James Evans is an excellent resource for anyone interested in the field of business analytics, data science, and decision making. The book provides an excellent foundation for beginners, and its practical examples make it an invaluable reference for professionals. The book is well-written and easy to digest, and the thoughtful presentation of topics ensures that readers leave with a comprehensive understanding of business analytics.