BZAN7706 · Business Analytics
Carroll School of Management
Machine Learning, big data, data mining, predictive analytics. These are what the course covers. They consist of the creation and use of mathematical computer models to predict important quantities and events with uncanny accuracy. As one book put it, "Who clicks, who buys, and who dies." The course teaches both the principles and the details of the major methods of making and applying these models to actual business problems. To produce models on the computer, students also learn the R coding language. This is the preferred high-level software for Machine Learning and statistical applications.STEM-designated
Course experience
Averages use the original five-point historical evaluation scale.
Organization
4.7 / 5
How well the course was organized
Challenge
4.6 / 5
How intellectually challenging students found it
Attendance
4.5 / 5
How necessary attendance was
Assignments
4.5 / 5
How helpful assignments were
Weekly effort
~4.5
hours per week
Estimated from the original workload response buckets. Individual sections may differ.
Instructor options
Ratings below reflect only recovered evaluations connected to this course.
Across time
Section-level results available in the recovered archive.
Spring 2025
2 sectionsFall 2024
2 sectionsSummer 2024
1 sectionSpring 2024
2 sectionsFall 2023
2 sectionsSummer 2023
1 sectionSpring 2023
2 sectionsFall 2022
2 sectionsSummer 2022
1 sectionSpring 2022
2 sectionsFall 2021
3 sectionsSummer 2021
1 section