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Data Analytics for Accounting (Looseleaf)

Data Analytics for Accounting (Looseleaf) - 19 edition

Data Analytics for Accounting (Looseleaf) - 19 edition

ISBN13: 9781260375152

ISBN10: 1260375153

Data Analytics for Accounting (Looseleaf) by Vernon Richardson, Katie Terrell and Ryan Teeter - ISBN 9781260375152
Cover type: Loose-Leaf
Edition: 19
Copyright: 2019
Publisher: McGraw-Hill Publishing Company
Published:
International: No
Data Analytics for Accounting (Looseleaf) by Vernon Richardson, Katie Terrell and Ryan Teeter - ISBN 9781260375152

ISBN13: 9781260375152

ISBN10: 1260375153

Cover type: Loose-Leaf
Edition: 19


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Summary

Data Analytics in Accounting is designed to prepare your students with the necessary tools and skills they need to successfully perform data analytics. Using Isson's data analytics model, the IMPACT Cycle, the authors provide a conceptual framework to help students think through the steps needed to provide data-driven insights and recommendations. Integrated in each chapter, labs provide multiple datasets and tutorials to give students hands-on experience working with different types of data and the tools used to analyze it. Students will conduct data analysis using Excel, Access (including SQL), Tableau, IDEA, XBRL, and Weka. And with Connect, an easy-to-use homework and learning management solution that embeds learning science and award-winning adaptive tools to improve student outcomes, instructors receive an innovative course solution that includes cutting-edge content and assessment paired with assignments that help students build the skills they need to succeed.

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Other Editions of Data Analytics for Accounting (Looseleaf)

Data Analytics for Accounting (Looseleaf) by Vernon Richardson, Katie Terrell and Ryan Teeter - ISBN 9781260904314