This course extends and deepens the material you learned in business analytics. We will apply these methods in more unstructured and diverse situations, introduce new analytics tools and methods (including Tableau Visualization, text mining, and random forests), and study a modern framework for overfitting reduction called regularization that underlies much of modern machine learning. This course does not require coding or knowledge beyond Business Analytics, but the mathematical sophistication level will be somewhat more advanced.
Division: Decision, Risk and Operations
Prerequisites
Summer 2023
B8101 - 001
Part of Term
MBA - Block Week 3 - July 24 - 28 | MTWRF
Section Syllabus
Download Syllabus
Section Notes
Day(s)
Date(s)
Start/End Time
Room
-
Monday, Tuesday, Wednesday, Thursday, Friday 07/24/2023 - 07/28/2023 9:00AM - 5:00PM Kravis 490
Fall 2022
B8101 - 001
Day(s)
Date(s)
Start/End Time
Room
-
Tuesday 09/06/2022 - 12/09/2022 8:30AM - 11:45AM Kravis 870
B8101 - 002
Day(s)
Date(s)
Start/End Time
Room
-
Tuesday 09/06/2022 - 12/09/2022 2:00PM - 5:15PM Kravis 870
Summer 2022
B8101 - 001
Part of Term
MBA - Block Week 3 - July 25 - 29 | MTWRF
Section Syllabus
Download Syllabus
Section Notes
MBA - Block Week 3 - July 25 - 29 | MTWRF
Day(s)
Date(s)
Start/End Time
Room
-
Monday, Tuesday, Wednesday, Thursday, Friday 07/25/2022 - 07/29/2022 9:00AM - 5:00PM Kravis 620