Section 3.3: Chapter Assignments and Test, Data Analytics Skills Review Analyzing Retail Store Sales, Step 32, the cell range at the very end of the sentence has been corrected to A2:D36. Section 3.3: Chapter Assignments and Test, Data Analytics Skills Review Analyzing Retail Store Sales, the last value in step 19 now reads 55,400 rather than 54,500. Section 2.3: Chapter Assignments and Tests, Data Analytics Skills Review Divisional Sales Report, Step 1, has been corrected to: Open the AnswerSheet worksheet in the Chapter 2 DA Exercise 2 workbook. Section 2.2: Keyboard Only, Center, Left, and Right Alignment, the first sentence has been corrected to: Tap the ALT key on your keyboard followed by the H key. Section 2.2: Formatting Worksheet Tabs, Step 7, added a third sentence that reads: Click the Orange, Accent 2, Lighter 40% option from the color palette. Section 2.1: Editing Data, Step 4, has been corrected to: Click cell B1.
Section 2.1: Added the Data Analytics Project 1 Excel file.
#DATA ANALYSIS WITH EXCEL PROJECTS HOW TO#
He has written several textbooks addressing practical applications for Microsoft Office that teach students how to use such applications for professional and personal needs. 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. Data visualization skills are also introduced and reinforced throughout. 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.Įxtensive datasets included in the book are drawn from accounting and finance scenarios and 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. This clear, easy-to-follow text also prepares learners to master more advanced skills using Excel. May also be assigned to students who need exposure or a refresher on how to use the Excel 2016 application in general.ĭata Analytics Using Microsoft 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 2016. This textbook is suitable as either a core text for using Excel 2016 in an introductory data analytics course or as a supplement to many basic through intermediate accounting or finance courses.
0 kommentar(er)
