![]() If Excel finds a match between the text in the cells, and our online sources, it will convert your text to either the Stocks data type or Geography data type. With the cells still selected, go to the Data tab, and then click either Stocks or Geography. Later on, this will make extracting online information easier. If you want geographic data, type a country, province, territory, or city name into each cell.Īlthough it's not required, we recommend creating an Excel table. If you want stock information, type a ticker symbol, company name, or fund name into each cell. Specifically, the values for population, and gasoline price are getting extracted from the Geography data type in column A. Columns B and C are extracting that information. This data type is connected to an online source that contains more information. He has written several textbooks addressing practical applications for Microsoft Office that teach students how to use such applications for professional and personal needs.In this example, column A contains cells that have the Geography data type. His industry practice had a heavy emphasis on data analytics and corporate strategic planning. Prior to Lehigh, Professor Manzo worked in apparel manufacturing, retail, and wealth management industries. In addition to teaching, he is a former director of the Rauch Center for Business Communications and also former acting Associate Dean and Director of Undergraduate Programs for the College of Business. He went on to teach several courses in both the undergraduate and graduate programs in the College of Business and since 2010 has taught Introduction to Financial Accounting and Introduction to Managerial Accounting. He started teaching at Lehigh in fall 2002 where he developed and oversaw the Microsoft Excel Competency program for all first year business students. ![]() Manzo (CMA and MBA Lehigh University) is Professor of Practice in Accounting at Lehigh University’s College of Business. 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. They provide learners with a basis for conceptualizing and designing data analytics projects with the highest level of integrity. Heavy emphasis is placed on how to efficiently navigate big datasets and use the keyboard to access commands during the design process.Įxtensive datasets included in the book are drawn from accounting and finance scenarios. It also prepares learners to master more advanced skills using Excel. 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 may also be assigned to students who need exposure or a refresher on how to use the Excel Microsoft 365 application in general.ĭata 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 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. This allows for the use of authentic Excel-based assignments without the need for manual grading. Students download spreadsheets from a link in the digital reader, complete them in Excel, and then match specific cells to correlated questions in FlatWorld Homework’s autograded environment. Spreadsheet-based assignments are linked to FlatWorld Homework to facilitate autograding.Encourages students to develop data visualization skills and to manipulate large datasets using keyboard commands only (rather than a mouse).No prior accounting or finance coursework is required. ![]() Clearly and simply walks students through core concepts.Datasets and projects are compatible with many accounting and finance courses, but can also support an interdisciplinary focus.Can be used stand alone or as a supplemental resource.Compatible with general technology courses that are not content specific. Early chapters explain how to conceptualize, design, and maintain the integrity of data analytics projects in any context, not just finance or accounting.This version is updated to align with Excel Microsoft 365. ![]()
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