Introduction To Data Analytics For Accounting(2nd Edition)

Book details

Book Price $83.85 : The second edition of 'Introduction to Data Analytics for Accounting' by Vernon Richardson, Katie Terrell, and Ryan Teeter is an essential resource for accounting students and professionals aiming to harness data analytics in decision-making and problem-solving processes. The book skillfully melds accounting principles with practical data analytics techniques using real-world applications and case studies. It delves into key themes such as data visualization, predictive modeling, and the ethical use of data. The authors provide a solution manual that enhances understanding by illustrating how various data analytics tools can be applied in an accounting context. The chapters lay out a systematic approach beginning with data collection and cleaning, methods for analyzing big data, and interpreting the results to provide actionable insights for business stakeholders. Readers will find an answer key to exercises in the latter part, allowing them to validate their understanding and solutions. The book's table of contents provides a structured guide to topics such as machine learning in accounting, regression analysis, and the use of programming languages like Python and SQL. The reception of the book has been positive, applauded for its comprehensive coverage and practical approach in bridging the gap between theory and real-world application in data analytics. This edition is particularly valuable for those aiming to advance their skills in using data analytics tools effectively in the accounting field. LSI Context: The book covers important concepts such as statistical analysis, data mining, and financial data integration. It is a vital academic resource that supports modern accounting practices influenced by information technology and big data. For educators recommending cheap, effective learning tools, this manual stands as a strong candidate. See more