POM 333: Intro to Business Analytics - spring
Prerequisite: POM 212
Data analytics to describe, predict, advise decision-making, & improve business performance. The student will learn how to analyze business problems using a quantitative decision-making approach. This course focuses on methods, descriptive/predictive models for decision-making, & possible actions that would profit from analysis & results examined in a business context. This course is required of all undergraduate business majors.
Class 12021
Section 01 · Lecture · 3.00 units
- Seats
- 30
- Days
- Monday Wednesday Friday
- Time
- 12:00 PM - 12:50 PM ET
- Instructor
- Uday Jha
- Instruction mode
- In Person
- Prerequisite
- Prerequisite: POM 212
- Section type
- Enrollment Section
Class 12022
Section 02 · Lecture · 3.00 units
- Seats
- 30
- Days
- Tuesday Thursday
- Time
- 12:30 PM - 1:45 PM ET
- Instructor
- Gang Wang
- Instruction mode
- In Person
- Prerequisite
- Prerequisite: POM 212
- Section type
- Enrollment Section
Class 12023
Section 03 · Lecture · 3.00 units
- Seats
- 30
- Days
- Tuesday Thursday
- Time
- 11:00 AM - 12:15 PM ET
- Instructor
- Dan Braha
- Instruction mode
- In Person
- Prerequisite
- Prerequisite: POM 212
- Section type
- Enrollment Section
Class 12024
Section 04 · Lecture · 3.00 units
- Seats
- 30
- Days
- Monday Wednesday Friday
- Time
- 12:00 PM - 12:50 PM ET
- Instructor
- Leili Soltanisehat
- Instruction mode
- In Person
- Prerequisite
- Prerequisite: POM 212
- Section type
- Enrollment Section