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, Mathematics 249 or 251 or 281 or equivalent, Statistics 217, and either Management Studies 217 and Strategy and Global Management 217, or Computer Science 203 and Business and Environment 291.
Sections
| LEC 1 | TR 09:30 - 10:45
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| Notes: Restricted to 3rd year and higher students. |
| LEC 2 | TR 11:00 - 12:15
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| Notes: Restricted to 3rd year and higher students. |
| LEC 3 | TR 12:30 - 13:45
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| Notes: Restricted to 3rd year and higher students. |
| LEC 4 | TR 14:00 - 15:15
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| Notes: Restricted to 3rd year and higher students. |
| LEC 5 | TR 15:30 - 16:45
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| Notes: Restricted to 1st and 2nd year students. |
| LEC 6 | TR 17:00 - 18:15
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| Notes: Restricted to 1st and 2nd year students only. |
| TUT 1 | F 16:00 - 18:50
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| TUT 2 | F 16:00 - 18:50
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| TUT 3 | F 16:00 - 18:50
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This course will be offered next in
Winter 2015.