Business analytics : communicating with numbers / Sanjiv Jaggia, Alison Kelly, Kevin Lertwachara, Leida Chen.
By: Jaggia, Sanjiv [author].
Contributor(s): Kelly, Alison (Professor of economics) [author.] | Lertwachara, Kevin [author.] | Chen, Leida [author.].
Material type: Text Language of document:EnglishPublisher: 2023Edition: Second edition.Description: xxii, 766 p. : ill. ; 28 cm.ISBN: 9781264302802; 9789355323491.Subject(s): Decision making -- Mathematical models -- Juvenile literature | Industrial management -- Statistical methods -- Computer programs -- Juvenile literature | Decision making -- Computer programs -- Juvenile literatureDDC classification: 658.4033 Online resources: Table of content Summary: "We wrote Business Analytics: Communicating with Numbers from the ground up to prepare students to understand, manage, and visualize the data; apply the appropriate analysis tools; and communicate the findings and their relevance. The text seamlessly threads the topics of data wrangling, descriptive analytics, predictive analytics, and prescriptive analytics into a cohesive whole. In the second edition of Business Analytics, we have made substantial revisions that meet the current needs of the instructors teaching the course and the companies that require the relevant skillset. These revisions are based on the feedback of reviewers and users of our first edition. The greatly expanded coverage of the text gives instructors the flexibility to select the topics that best align with their course objectives"-- Provided by publisher.Item type | Current library | Collection | Call number | URL | Status | Date due | Barcode |
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Book | Dr. B. R. Ambedkar Central Library Social Science/Management | Social Science Collections | 658.4033 J185 Bu,2 (Browse shelf(Opens below)) | Link to resource | Available | 271564 |
Includes index.
special Indian ed.
"We wrote Business Analytics: Communicating with Numbers from the ground up to prepare students to understand, manage, and visualize the data; apply the appropriate analysis tools; and communicate the findings and their relevance. The text seamlessly threads the topics of data wrangling, descriptive analytics, predictive analytics, and prescriptive analytics into a cohesive whole. In the second edition of Business Analytics, we have made substantial revisions that meet the current needs of the instructors teaching the course and the companies that require the relevant skillset. These revisions are based on the feedback of reviewers and users of our first edition. The greatly expanded coverage of the text gives instructors the flexibility to select the topics that best align with their course objectives"-- Provided by publisher.
Ages 18+ McGraw Hill LLC.
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