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Data Analytics Using Excel Microsoft 365: With Accounting and Finance Datasets Version 3.0
Author(s): Marzo, Joseph M.
Year: 2024
This textbook is suitable as either a core text for using Excel Microsoft 365 in an introductory data analytics course or as a supplement to basic through intermediate accounting or finance courses. It may also be assigned to students who need exposure or a refresher on how to use the Excel Microsoft 365 application in general.
Data Analytics Using Microsoft 365 Excel: With Accounting and Finance Datasets provides students with the opportunity to learn basic skills needed to execute many personal and professional activities using Excel Microsoft 365. This clear, easy-to-follow text explains how to analyze and make discoveries in datasets by treating data visualization skills as a vital component of the analytics process. It also prepares learners to master more advanced skills using Excel. Heavy emphasis is placed on how to efficiently navigate big datasets and use the keyboard to access commands during the design process.
Extensive datasets included in the book are drawn from accounting and finance scenarios. They provide learners with a basis for conceptualizing and designing data analytics projects with the highest level of integrity. Author-narrated videos embedded throughout the digital reader explain concepts and operations, adding an engaging audio and visual richness to the written explanations and exercises.
Data Analytics Using Microsoft 365 Excel: With Accounting and Finance Datasets provides students with the opportunity to learn basic skills needed to execute many personal and professional activities using Excel Microsoft 365. This clear, easy-to-follow text explains how to analyze and make discoveries in datasets by treating data visualization skills as a vital component of the analytics process. It also prepares learners to master more advanced skills using Excel. Heavy emphasis is placed on how to efficiently navigate big datasets and use the keyboard to access commands during the design process.
Extensive datasets included in the book are drawn from accounting and finance scenarios. They provide learners with a basis for conceptualizing and designing data analytics projects with the highest level of integrity. Author-narrated videos embedded throughout the digital reader explain concepts and operations, adding an engaging audio and visual richness to the written explanations and exercises.
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