This course will provide students with applications of data science in business and economics. Students learn to integrate personal judgment and intuition in realistic business situations with the most widely applicable methodologies of decision and risk analysis, probability and statistics, competitive analysis, and management science. Topics include an introduction to decision analysis and modelling; spreadsheet engineering and error reduction; framing decision analysis problems; framework for analyzing risk; data analysis; resource allocation with optimization models; multi-period deterministic models; multi-factor deterministic models; regression modelling;strategic interactive decisions; and interpreting models, data, and decisions. Note: This course has a graduate mirror course BUSN 6250 Decision Analysis and Modelling. Students may not get credits for both courses.
This course will provide students with applications of data science in business and economics. Students learn to integrate personal judgment and intuition in realistic business situations with the most widely applicable methodologies of decision and risk analysis, probability and statistics, competitive analysis, and management science. Topics include an introduction to decision analysis and modelling; spreadsheet engineering and error reduction; framing decision analysis problems; framework for analyzing risk; data analysis; resource allocation with optimization models; multi-period deterministic models; multi-factor deterministic models; regression modelling;strategic interactive decisions; and interpreting models, data, and decisions. Note: This course has a graduate mirror course BUSN 6250 Decision Analysis and Modelling. Students may not get credits for both courses.
