UGBA142

Download as PDF

UGBA 142 - Advanced Business Analytics

Walter A. Haas School of Business Undergraduate BUS - Haas School of Business

Subject

UGBA

Course Number

142

Course Level

Undergraduate

Course Title

Advanced Business Analytics

Course Description

Successful business analysts, managers, and executives are increasingly required to make data-driven decisions to run their businesses, rather than rely on experience and intuition alone. This course teaches the latest data analytic methods and decision methods now used by leading-edge business practitioners, going deep to understand their technical inner workings and going broad to realize their practical business applications. Topics include: data analysis/business decision methodology; data analytic methods, including machine learning and other approaches; introduction to R software for data analysis; real-world/real-data business practicum across a variety of industries.

Minimum Units

3

Maximum Units

3

Grading Basis

Default Letter Grade; P/NP Option

Method of Assessment

Written Exam

Prerequisites

Undergraduate Business Administration 104, Data Science C100, or equivalent

Repeat Rules

Course is not repeatable for credit.

Credit Restriction Courses. Students will receive no credit for this course if following the course(s) have already been completed.

-

Credit Replacement Courses. Upon passing, students can use the following course(s) to replace a deficient grade for this course.

-

Formats

Lecture

Term

Fall and Spring

Weeks

15 weeks

Weeks

15

Lecture Hours

3

Lecture Hours Min

3

Lecture Hours Max

3

Lecture Mode of Instruction

In Person, Online

Outside Work Hours

6

Outside Work Hours Min

6

Outside Work Hours Max

6

Term

Summer

Weeks

6 weeks

Weeks

6

Lecture Hours

7.5

Lecture Hours Min

7.5

Lecture Hours Max

7.5

Lecture Mode of Instruction

In Person, Online

Outside Work Hours

15

Outside Work Hours Min

15

Outside Work Hours Max

15