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If you are enrolled in courses delivered in traditional or hybrid modalities, you will be expected to attend face-to-face instruction as scheduled.


Data Analytics For Accountants Using Ms Excel (ACC-301)


Semester: Fall 2024
Number: 0201-301-001
Instructor: Ganesh Pandit
Days: TBA
Note: Online, Asynchronous
Location: Online
Credits: 3
Notes:

For majors and non-majors

Course Materials: View Text Books
Description:

This course is meant for students who are in the early stages of learning the fundamentals of data analytics. At the end of this course, students will gain exposure to using Excel in efficiently navigating big datasets in different accounting and finance-related scenarios and in creating effective data visualization.

Learning Goals:   Upon the completion of this course, the successful student should be able to understand the meaning, uses and limitations of data analytics in general and in accounting in particular. prepare data for analysis and conduct a basic data audit including establishing data internal controls. demonstrate the ability to sort, rearrange, merge, and reconfigure data to engage in enhanced analysis. perform different types of data analytics. communicate the results of data analytics with the use of tables and visuals. develop reasonable proficiency in written communication through class participation and selected assignments.

*The learning goals displayed here are those for one section of this course as offered in a recent semester, and are provided for the purpose of information only. The exact learning goals for each course section in a specific semester will be stated on the syllabus distributed at the start of the semester, and may differ in wording and emphasis from those shown here.

Prerequisites:

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