Econometrics and Data Science


This course builds on the foundation laid in 104. Develops skills necessary to analyze and interpret real world data using modern data science methods to provide a toolkit to be sophisticated consumers and producers of empirical research in econ as well as other fields in the social, health and life sciences. Mastery of the material provides knowledge of econometric and data science methods to think critically about the quality of evidence about how individuals behave, markets work, firms make money or societies operate. Prerequisite: (Economics 21 and 22, 23 and 24, 101, 101D, or 201D) and (Economics 104D, Statistical Science 111 or Statistical Science 432/Mathematics 343).


Prerequisite: (Economics 21 and 22, Economics 23 and 24, Economics 101, Economics 101D, or Economics 201D) and (Economics 104D, Statistical Science 111, or Statistical Science 432/Mathematics 343)

Curriculum Codes
  • R
  • QS
  • SS
Typically Offered
Fall and/or Spring