Description
ISE Data Analytics for Accounting is a comprehensive resource designed to bridge the gap between traditional accounting practices and modern data analytics. This textbook, authored by Vernon Richardson and Katie L. Terrell along with other expert contributors, provides accounting students and professionals with the knowledge and skills needed to leverage data analytics in their work.
The book covers fundamental concepts of data analytics, statistical analysis, and visualization techniques as they apply to accounting contexts. Students will learn how to extract meaningful insights from financial data, identify trends, and support decision-making processes through analytical methods. With practical examples and case studies, the material demonstrates real-world applications of data analytics in audit, tax, financial reporting, and forensic accounting.
Published by McGraw Hill, this ISE edition offers an accessible introduction to the tools and technologies transforming the accounting profession, preparing students for careers in an increasingly data-driven industry.
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