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Business Analytics | Methods Models And Decisions | By James R. Evans | 3rd Edition | Pearson Publication ( English Medium )

780-930
[Shipping Cost = Standard Mode, Expedite Mode]

Business Analytics | Methods Models And Decisions | By James R. Evans | 3rd Edition | Pearson Publication ( English Medium ).

Business Analytics: Methods, Models, and Decisions" by James R. Evans, 3rd Edition, published by Pearson, provides a comprehensive overview of business analytics and its application in decision-making processes. The book covers various analytical methods and models used to analyze data and derive insights for making informed business decisions. It includes topics such as data visualization, predictive modeling, optimization, simulation, and decision analysis. With a practical approach, it aims to equip readers with the skills and knowledge needed to effectively utilize analytics in a business context, emphasizing the importance of data-driven decision-making for organizational success.

About the Author:

Dr. James Evans is licensed in clinical and school psychology. Following graduation with a bachelor's degree in education, and a tour of duty in the U.S. Army, he taught in a public high school. Later he earned a master's degree in psychology.

Search Key - Business Analytics Evans, Methods Models and Decisions, James R. Evans book, Business Analytics textbook, Pearson Business Analytics, Analytics methods and models, Data-driven decision making, Business analytics concepts, Analytics in decision making, Predictive modeling book, Optimization techniques, Simulation in business, Decision analysis textbook, Data visualization strategies, Business analytics tools, Analytics for managerial decision making, Evans Business Analytics review, Pearson Business Analytics 3rd edition, Business analytics case studies, Business analytics best practices Publisher ‏ : ‎ Pearson Education; Third edition (29 January 2021); Pearson Education, Language ‏ : ‎ English, Paperback ‏ : ‎ 704 pages, ISBN-10 ‏ : ‎ 9390394589, ISBN-13 ‏ : ‎ 978-9390394586


Product Details
SKU, Publisher Pea-Busin-Analytics-3e-(E)
Publisher Pearson Publication
Author, Edition James R. Evans, 3rd Edition, English Medium
Binding, Type Paperback, New
No. of Pages 704
Product Description

Business Analytics | Methods Models And Decisions | By James R. Evans | 3rd Edition | Pearson Publication ( English Medium ).

Business Analytics: Methods, Models, and Decisions" by James R. Evans, 3rd Edition, published by Pearson, provides a comprehensive overview of business analytics and its application in decision-making processes. The book covers various analytical methods and models used to analyze data and derive insights for making informed business decisions. It includes topics such as data visualization, predictive modeling, optimization, simulation, and decision analysis. With a practical approach, it aims to equip readers with the skills and knowledge needed to effectively utilize analytics in a business context, emphasizing the importance of data-driven decision-making for organizational success.

About the Author:

Dr. James Evans is licensed in clinical and school psychology. Following graduation with a bachelor's degree in education, and a tour of duty in the U.S. Army, he taught in a public high school. Later he earned a master's degree in psychology.

Search Key - Business Analytics Evans, Methods Models and Decisions, James R. Evans book, Business Analytics textbook, Pearson Business Analytics, Analytics methods and models, Data-driven decision making, Business analytics concepts, Analytics in decision making, Predictive modeling book, Optimization techniques, Simulation in business, Decision analysis textbook, Data visualization strategies, Business analytics tools, Analytics for managerial decision making, Evans Business Analytics review, Pearson Business Analytics 3rd edition, Business analytics case studies, Business analytics best practices Publisher ‏ : ‎ Pearson Education; Third edition (29 January 2021); Pearson Education, Language ‏ : ‎ English, Paperback ‏ : ‎ 704 pages, ISBN-10 ‏ : ‎ 9390394589, ISBN-13 ‏ : ‎ 978-9390394586

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