Business Administration 425:
Introduction to Business Analytics (2.0 units)
Leveraging large corporate datasets; slice and dice data; dash boards; data mining and statistical tools; neural network; multiple and logistic regression; decision tree; gain inference and decision making; clustering.
- Prerequisite: 1 from (BUAD 281 or BUAD 305) and BUAD 302 and BUAD 304 and 1 from (BUAD 306 or BUAD 308) and BUAD 307 and 1 from (BUAD 310 or BUAD 312) and 1 from (BUAD 311 or BUAD 313)
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 15053R | 001 | Lecture | 10:00-11:50am | Thursday | 0 of 48 | Robertas Gabrys | JFFLL103 |  | |
| 15054R | 001 | Lecture | 10:00-11:50am | Friday | 0 of 48 | Robertas Gabrys | JFFLL103 | | |
| 15055R | 001 | Lecture | 12:00-1:50pm | Friday | 0 of 48 | Robertas Gabrys | JFFLL103 | | |
| 15056R | 001 | Lecture | 8:00-9:50am | Friday | 0 of 48 | Robertas Gabrys | JFFLL103 | | |
| 15057R | 001 | Lecture | 10:00-11:50am | Monday | 0 of 48 | Inga Maslova | JFFLL103 | | |
| 15058R | 001 | Lecture | 8:00-9:50am | Thursday | 0 of 48 | Robertas Gabrys | JFFLL103 | | |
| 15060R | 001 | Lecture | 12:00-1:50pm | Thursday | 0 of 48 | Robertas Gabrys | JFFLL103 | | |
| 15063R | 001 | Lecture | 10:00-11:50am | Wednesday | 0 of 48 | Inga Maslova | JFFLL103 | | |
| 15064R | 001 | Lecture | 12:00-1:50pm | Wednesday | 0 of 48 | Inga Maslova | JFFLL103 | |