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| ECN 377 - Introduction to Econometrics and Data Analytics |
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Introduction to applied estimation, testing and interpretation of economic models useful for business and policy decision-making. Emphasis on applied, client-driven model formulation, data acquisition and manipulation, and model estimation using statistical regression in a desktop computing environment. Extensive practice in interpretation of results for business and policy audiences.
3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Economics & Finance Department Restrictions: Must be enrolled in one of the following Majors: Business Administration Economics Business Administration May not be assigned one of the following Student Attributes: Online Accelerated Programs Prerequisites: (Undergraduate level MAT 151 Minimum Grade of D- or Undergraduate level MAT 161 Minimum Grade of D-) and (Undergraduate level BAN 280 Minimum Grade of D- or Undergraduate level STT 215 Minimum Grade of D-) and Undergraduate level ECN 222 Minimum Grade of D- |
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