BZAN8067 · Business Analytics

Machine Learning & Artificial Intelligence

Carroll School of Management

Numerical ratings

4.1 / 5Course rating

From 6 rating records
Across 1 instructor

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Who teaches this? 1

Both ratings are out of 5, for each instructor’s sections of BZAN8067.

Pieter VanderWerf

Professor of the Practice, Business Analytics · CSOM

5 evaluations for this course

Instructor: 4.6
Course: 4.4

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1 of 1 instructors

Pieter VanderWerf

Professor of the Practice, Business Analytics · CSOM

5 evaluations for this course

Instructor: 4.6
Course: 4.4

About this course

This course builds on Data Analytics 1 to provide students with advanced tools and skills forMachine learning (ML) in business practice. On the technical side, the course content extends to a wider range of algorithms as well as advanced methods for data sampling and model building and evaluation. More depth in application comes from student reports on current events in Machine Learning, and a course project that involves complete model construction and analysis for an actual business problem with an actual corporate data set. The course assumes the student has experience with the basic machine learning algorithms and the R codinglanguage.STEM-designated.

All evaluation ratings

Averages use numerical 1–5 ratings, including the ratings submitted with new anonymous reviews.

OrganizationHow well the course was organized: 4.53 / 5
ChallengeHow intellectually challenging students found it: 4.26 / 5
AttendanceHow necessary attendance was: 4.29 / 5
AssignmentsHow helpful assignments were: 4.30 / 5

Weekly effort: ~4 hours

Estimated from the original workload response buckets. Individual sections may differ.

Evaluation history Browse all evaluations

Evaluation history 6 terms

All available terms for BZAN8067. Numerical averages use the five-point scale.
Term	Evaluations	Course rating	Instructor rating
Spring 2025	1	4.1	4.3
Fall 2024	1	4.2	4.5
Spring 2024	1	4.2	4.6
Fall 2023	1	4.6	4.8
Fall 2022	1	4.7	4.7
Fall 2021	1	2.6	2.9