BUS 4650: Data Analytics and Visualization (2024-2025)

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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. Data Analytics minors may take this course by receiving permission from the SBGE Assistant Dean for Undergraduate Programs.

Term CRN Credits Instructor(s) Days Time Dates Location Open
Autumn 111 5 Andy Chen
9:00AM-11:00 AM
McKenna Hall 113
9 of 30 seats open
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Restrictions: Accounting, Business Administration, Computer Science - Systems, Economics, Global Development Studies, Information Systems, Political Science, Psychology majors only.
Attributes: Upper-Division
Grade Modes: (Default) Normal Grading, Audit, Pass/No Credit
Instructional Methods: Traditional
Note: Full Term

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