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ACE 264 AS2 - App Stat Mthds & Data Anlytcs2

Campus: Urbana-Champaign


Offers the statistical and econometric tools to describe and understand common economic issues. The emphasis will be on the multiple regression model and its associated extensions regularly used to overcome traditional econometric issues. The course will introduce and use an advanced statistical software for hands-on exercises. No prior experience with the software is expected or required. Course Information: Credit is not given for ACE 264 if credit for ECON 203 or equivalent has been earned. Prerequisite: MATH 124 or MATH 125; ACE 262.

Special Instructions:

Learn statistical methods for applied economics. Focus will be on answering questions with the multiple regression model. We cover common econometric problems. The course also covers an introduction to the statistical language R. All exercises will be conducted in R and RStudio, but no prior experience in R is expected or required. . Prerequisite: MATH 124 or MATH 125; ACE 261 or ACE 262 or ECON 202 or equivalent. This class will be taught synchronous using Zoom and respective materials will be posted in Compass (compass2g.illinois.edu).

Option 1

Number of Required Visit(s): 0

Course Level: Undergraduate

Credit: 3

Term(s): Fall , Spring


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