Undergraduate Time Schedule | Seattle Pacific University

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

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
Summer	60083	5	Andy Chen	Arranged	Online-	06/24-07/19	**Online	30 of 30 seats open
Add to calendar 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: Online Note: Combined Parts A & B Prerequisites: BUS 2700: C- or better OR MAT 2700: C- or better OR MAT 2360: C- or better
Autumn	111	5	Andy Chen	Tu,Th	9:00AM-11:00 AM	09/30-12/05	McKenna Hall 113	30 of 30 seats open
Add to calendar 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 Prerequisites: BUS 2700: C- or better OR MAT 2700: C- or better OR MAT 2360: C- or better
Winter	20130	5	Andy Chen	Tu,Th	12:50PM-2:50 PM	01/06-03/07	Otto Miller Hall 126	30 of 30 seats open
Add to calendar 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 Prerequisites: BUS 2700: C- or better OR MAT 2700: C- or better OR MAT 2360: C- or better
Spring	40108	5	Andy Chen	Tu,Th	3:00PM-5:00 PM	03/26-06/05	McKenna Hall 118	30 of 30 seats open
Add to calendar 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 Prerequisites: BUS 2700: C- or better OR MAT 2700: C- or better OR MAT 2360: C- or better

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