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About This Book
Introduction to Data Analytics for Accounting
ISBN: 9781264445141
Introduction to Data Analytics for Accounting is a comprehensive textbook designed to help students and educators navigate the rapidly evolving field of accounting in the digital age. Written by Vernon J. Richardson, Ryan Teeter, and Katie Terrell, this book is a go-to resource for anyone looking to integrate data analytics into their accounting practices.
Who Uses It?
Primarily, this book is used by students and instructors in introductory accounting courses at the college and university levels. It's also a valuable resource for professionals in the accounting field who need to understand and apply data analytics to make informed business decisions.
History and Editions
The 2nd edition of Introduction to Data Analytics for Accounting has been updated to address the growing demand for analytics skills in the accounting profession. This edition includes detailed explanations on how to use tools like Excel, Tableau, and PowerBI to analyze and interpret data. The book is designed to help students develop the skills needed to ask the right questions and effectively interpret results.
Author and Other Works
Vernon J. Richardson is known for his expertise in data analytics and its application in accounting. Ryan Teeter and Katie Terrell contribute their knowledge in data analysis and accounting principles, ensuring that the book remains current and relevant. While there isn't extensive information on other works by these authors, their collaboration on this textbook showcases their commitment to providing high-quality educational resources.
Key Features
- Comprehensive Coverage: The book covers core concepts in accounting through the lens of data analytics.
- Practical Tools: It includes practical examples and exercises using popular data analysis tools like Excel, Tableau, and PowerBI.
- Real-World Applications: The text is designed to help students apply data analytics in real-world scenarios, making it easier to transition from the classroom to the workplace.
- Updated Research: The book incorporates the latest research and updates in data analytics, ensuring that students are equipped with the most current methodologies.
Detailed Information
ISBNs and Formats
- Textbook Binding: ISBN-10: 1264445148 | ISBN-13: 9781264445141
- eBook: Available with rental options (180 Days online access, 1825 Days downloadable access) [2]
Publication Details
- Publisher: McGraw-Hill Higher Education
- Publication Date: January 10, 2023
- Number of Pages: N/A (varies by edition)
- Language: English
Other Editions and Formats
While there are no other editions listed, the book is available in various formats including rental and eBook options. The rental edition typically includes only the book itself, without any supplemental materials [2].
Related ISBNs:
- Rental Edition: ISBN-10: 1264445148 | ISBN-13: 9781264445141
- eBook Edition: N/A (available through rental options)
This detailed information section provides a quick reference for all the available formats and sources for Introduction to Data Analytics for Accounting, making it easier to find and access the book in the preferred format.
