Introduction to data representation and analysis. Students will think critically about business problems, gather, evaluate, analyze and synthesize relevant data, and create insightful models to improve the quality of decisions. Communicating and presenting quantitative analysis to lead managerial decision making will be emphasized while continuing to advance both individual and group leadership skills.
This course may not be repeated for credit.
Prerequisite(s)
- Admission to the Haskayne School of Business Bachelor of Commerce program.
Antirequisite(s)
- Credit for both Management Studies 217 and Business and Environment 291 will not be allowed.
Sections
| LEC 1 | MWF 09:00 - 09:50
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| Notes: The following 6 dates are online asynchronous: Jan 12, 14, 28, Feb 11, Mar 2, and Mar 28
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| LEC 2 | MWF 10:00 - 10:50
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| Notes: The following 6 dates are online asynchronous: Jan 12, 14, 28, Feb 11, Mar 2, and Mar 28
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| LEC 3 | MWF 12:00 - 12:50
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| Notes: The following 6 dates are online asynchronous: Jan 12, 14, 28, Feb 11, Mar 2, and Mar 28
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| LEC 4 | MWF 13:00 - 13:50
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| Notes: The following 6 dates are online asynchronous: Jan 12, 14, 28, Feb 11, Mar 2, and Mar 28
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This course will be offered next in
Spring 2022.