Data Analytics For Accounting(3rd International Edition)
Authors:
Vernon Richardson Professor, Katie L. Terrell, Ryan A. Teeter
In Stock: 2 Left
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Total Price:
$0
Solution Manual Includes
Price:
$9.99
Book details
ISBN: 1265094454, 9781265094454
Book publisher: McGraw Hill
Book Price $0 : Data Analytics For Accounting, authored by Vernon Richardson, Katie L. Terrell, and Ryan A. Teeter, is a definitive guide for integrating data analytics into the accounting industry. The book, now in its third edition, serves as a resource for professionals seeking to harness the power of big data by using structured and unstructured data analytics to inform decision-making processes. It emphasizes the application of relevant methodologies such as regression analysis, predictive modeling, and financial data visualization using tools like Excel and Tableau. The authors present detailed instructions and examples aimed at teaching readers how to practically apply these techniques within real-world accounting scenarios. This edition provides an updated table of content that includes modern data techniques, coupled with an in-depth solution manual and answer key to facilitate learning. By offering extensive exercises and case studies, the textbook allows learners to practice skills such as identifying trends, detecting anomalies, and conducting audits using digital tools. The book has been praised for its comprehensive approach and its ability to clearly articulate the intersection of data science and accounting practice, thereby equipping accountants with the necessary data analytical skills for today’s technologically driven market. Skeptics often commend its practicality and the way it aligns with professional standards. Solutions and methodologies presented are crucial not only for students but also for professionals keen on advancing in fields where accounting meets data science. Readers will appreciate the cheap access to valuable knowledge this guide provides.
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