BUS 4650: Data Analytics and Visualization (2021-2022)

View all BUS classes

Examines the principles and practices of data mining and information visualization including data analytics from a business perspective. Data mining is the computational process of discovering patterns in large data sets. Information visualization is the process of visually representing those patterns. Students will utilize tools and techniques to analyze large data sets in order to make sound business decisions.

Term CRN Credits Instructor(s) Days Time Dates Location Open
Summer 60088 5 Andy Chen
Arranged
Online-
06/14-07/09
**Online
23 of 30 seats open
Add to calendar
Restrictions: Accounting, Business Administration, Computer Science - Systems, Economics, Global Development Studies, Information Systems, Political Science majors only.
Attributes: Upper-Division
Grade Modes: (Default) Normal Grading, Audit, Pass/No Credit
Instructional Methods: Online
Note: Summer Part A

Prerequisites:
BUS 2700: C- or better
OR MAT 2700: C- or better
OR MAT 2360: C- or better