Use of data-driven analysis to guide managerial decision-making. Why, when and how one can collect and organize data, how to model the data to obtain information and use this knowledge to make informed decisions.
This course may not be repeated for credit.
Prerequisite(s)
- Admission to the Haskayne School of Business, second year standing, Mathematics 249 or 251 or equivalent, Statistics 217, Computer Science 203 and Business and Environment 291, with minimum grades of C-
Sections
| LEC 1 | MW 12:30 - 13:45
| | | | |
| LEC 2 | MW 14:00 - 15:15
| | | | |
| LEC 3 | TR 09:30 - 10:45
| | | | |
| LEC 4 | TR 11:00 - 12:15
| | | | |
| LEC 5 | TR 14:00 - 15:15
| | | | |
| LEC 6 | TR 15:30 - 16:45
| | | | |
| LEC 7 | T 18:30 - 21:20
| | | | |
This course will be offered next in
Spring 2008.