Business Analytics Methods Models And Decisions(2nd Edition)
Authors:
James R. Evans
In Stock: 1 Left
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Expected shipping within 2 - 3 DaysPopular items with books
Total Price:
$0
Solution Manual Includes
Price:
$9.99
Book details
ISBN: 321997824, 978-1119298588, 978-0321997821
Book publisher: Pearson
Book Price $0 : James R. Evans' 'Business Analytics: Methods, Models, and Decisions' presents a comprehensive guide to understanding contemporary data-driven decision-making processes. Central to the text are key themes such as statistical analysis, predictive modeling, and optimization techniques essential for thriving in modern business environments. This second edition expands on practical methodologies with detailed examples, integrating both traditional and modern analytics approaches. Readers are introduced to quantitative methods and business analytics strategies that utilize software and programming languages like R and Python, highlighting their significance in data analysis and business intelligence. The book serves as a crucial resource for students and professionals alike, providing an in-depth exploration of advanced statistical methodologies, regression models, and linear programming. Additionally, it aids in understanding prescriptive analytics and simulation techniques, equipping readers with the skills needed to address complex business problems effectively. The detailed solution manual and the answer key are invaluable for deepening one's comprehension of complex concepts. Furthermore, the table of contents is meticulously arranged to guide readers through individual topics systematically. The reception for Evans' work is notably positive, praised for its clarity and practical applicability in teaching environments. Educators leverage this comprehensive guide to facilitate learning in both undergraduate and graduate courses. Instructors appreciate the robust examples and exercises, making it an excellent resource for developing advanced analytics skills. Educators will find this cheap volume useful when recommending economical study resources to their students.
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