Data Analytics for Accounting(1st edition)

Authors:

Vernon Richardson

Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New

In Stock: 1 Left

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Book details

ISBN: 1260375196, 9781260375183 , 978-1260375190

Book publisher: Mc Graw Hill Education

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Book Price $0 : Data Analytics for Accounting by Vernon Richardson provides comprehensive coverage of applying data analytics in the accounting field, a vital aspect of the modern financial industry. This book offers practical insights into how data analytics can optimize accounting processes, enabling accountants to derive actionable insights from vast datasets. The book's emphasis on incorporating technical methodologies such as data mining, statistical analysis, and predictive modeling equips accountants with the skills necessary for modern financial analysis. The solution manual available for this text serves as a crucial tool for educators and learners alike, providing detailed explanations and ensuring a deep understanding of each chapter. Throughout the book, readers will find detailed discussions on using programming languages such as Python and R for analyzing financial data, making it an indispensable resource for those interested in merging accounting with data science. Key features include a clear table of content that guides users through the material, facilitating a structured learning experience. Additionally, the availability of an answer key for various exercises allows students to verify their answers, ensuring they grasp essential concepts such as regression analysis and data visualization. The reception of this book has been positive among both academic and professional communities, highlighting its practicality and relevance in today's data-driven accounting industry. This integration of data analytics into the accounting curriculum is a response to the evolving demands of the financial sector, emphasizing the need for technologically adept accountants. This book’s accessible explanations make acquiring knowledge cheap and straightforward for all readers.

Customer Reviews

Trusted feedback from verified buyers

GB
Grace Bishop
5.0
Picked this up free for my University at Albany, State University of New York course and it showed up super quick and the condition was like new which I didn’t expect. Haven’t gone through much yet but the layout looks really clean so excited to see if it helps me keep up in class!
TW
Tessa West
5.0
An absolute must-read for anyone delving into data analytics within the accounting field! This book stands out due to its clear explanations, practical examples, and comprehensive coverage of topics. The authors have done a remarkable job of breaking down complex concepts into manageable pieces that are easily digestible. As a practitioner who has been in the field for over a decade, I found the fresh perspectives both insightful and applicable to real-world scenarios. Plus, it arrived quickly and in perfect condition. Highly recommended!
OH
Olivia Holt
4.0
The book does an excellent job of walking readers through the nuances of data analytics in accounting with clear examples. It’s particularly useful for those who want to integrate analytics tools into their existing knowledge. I appreciated the logical structure and real-world applications discussed throughout. The delivery was prompt, and it was packaged nicely. The only reason for not giving it a full five stars is that some sections seemed a bit too basic for advanced users, but overall it's a fantastic resource.
QK
Quinn Knighton
4.0
If you're looking for a solid guide that balances theory and practical application, this is the book. I used my Prime membership to get a discount, which was a nice perk. Everything was described thoroughly, from the basics to more complex algorithms. While it's immensely thorough, some of the exercises could use a bit more challenge for seasoned analysts. Still, it's a great addition to my professional library and one I'd recommend to peers looking to expand their skill set.