9781260576016-1260576019-ISE Business Analytics (ISE HED IRWIN STATISTICS)

ISE Business Analytics (ISE HED IRWIN STATISTICS)

ISBN-13: 9781260576016
ISBN-10: 1260576019
Edition: 1
Author: Kevin Lertwachara, Leida Chen, Sanjiv Jaggia Professor, Alison Kelly Professor
Publication date: 2020
Publisher: McGraw-Hill Education
Format: Paperback
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ISBN-13: 9781260576016
ISBN-10: 1260576019
Edition: 1
Author: Kevin Lertwachara, Leida Chen, Sanjiv Jaggia Professor, Alison Kelly Professor
Publication date: 2020
Publisher: McGraw-Hill Education
Format: Paperback

Summary

ISE Business Analytics (ISE HED IRWIN STATISTICS) (ISBN-13: 9781260576016 and ISBN-10: 1260576019), written by authors Kevin Lertwachara, Leida Chen, Sanjiv Jaggia Professor, Alison Kelly Professor, was published by McGraw-Hill Education in 2020. With an overall rating of 4.2 stars, it's a notable title among other Econometrics & Statistics (Economics, Statistics, Education & Reference) books. You can easily purchase or rent ISE Business Analytics (ISE HED IRWIN STATISTICS) (Paperback, Used) from BooksRun, along with many other new and used Econometrics & Statistics books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.82.

Description

Business Analytics: Communicating with Numbers was written from the ground up to prepare students to understand, manage, and visualize the data, apply the appropriate tools, and communicate the findings and their relevance. Unlike other texts that simply repackage statistics and traditional operations research topics, this text seamlessly threads the topics of data wrangling, descriptive analytics, predictive analytics, and prescriptive analytics into a cohesive whole. It provides a holistic analytics process, including dealing with real life data that are not necessarily 'clean' and/or 'small' and stresses the importance of effectively communicating findings by including features such as a synopsis (a short writing sample) and a sample report (a longer writing sample) in every chapter. These features help students develop skills in articulating the business value of analytics by communicating insights gained from a non-technical standpoint.

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