Data Analytics in Accounting
Overview
Description
This course is a broad introduction to applying data analytics to solve problems in accounting and other business areas. During the course, you will receive hands-on experience with applying data science techniques through a series of in-class labs and an open-ended final project. Tools we will use include software such as Excel, Access, SQL, Tableau, XBRL, MindBridge Ai, Weka, and Python. Topics covered include data preparation and cleaning, statistical modeling, data visualization, audit data analytics, managerial performance analytics, financial statement analytics, tax analytics, and text mining. Prior experience with these tools is not required. While we will use many tools in this course, the focus is on concepts, not statistical math or programming.
Career
Graduate
Credits
Value
4
Max
4
Min
4
Course Count
1
Number Of Credits
4
Number Of Repeats
1
Repeatable
No
Contact Use
Yes
Generate Attendance
No
Left Use
Yes
Present Use
Yes
Reason Use
Yes
Tardy Use
Yes
Template Override
No
Time Use
Yes
Attendance Type
Class Meeting
Auto Create
No
Code
LEC
Instructor Contact Hours
4
Default Section Size
30
Final Exam Type
Yes
Include in Dynamic Date Calc
No
Instruction Mode
In Person
LMS File Type
Blackboard CourseInfo 4
Name
Lecture
OEE Workload Hours
0
Optional Component
No
Preferred Room Features
Academic Scheduling
Workload Hours
4