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

Enrolling
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

Enrolling
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

Enrolling
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

Enrolling
Seats
30
Days
Monday Wednesday Friday
Time
12:00 PM - 12:50 PM ET
Instruction mode
In Person
Prerequisite
Prerequisite: POM 212
Section type
Enrollment Section