Introduction to Data Analysis and Econometrics

Introduction to Data Analysis and Econometrics

ECON S1117 (CRN: 30057)

Instructors: Helen Pushkarskaya
Dates: Session A, May 25 - June 26, 2026
Course Mode: Online
Meeting Times: TTh 10.00-11.45
Distributional Requirements: Quantitative Reasoning, Social Sciences
Eligibility: Open to pre-college and college students

Session A (30057) and Session B (30058) courses closed to further enrollment. Online Course. Introduction to data analysis from the beginning of the econometrics sequence; exposure to modern empirical economics; and development of credible economic analysis. This course emphasizes working directly and early with data, through such economic examples as studies of environmental/natural resource economics, intergenerational mobility, discrimination, and finance. Topics include: probability, statistics, and sampling; selection, causation and causal inference; regression and model specification; and machine learning and big data. Prerequisites: ECON 1108, 1110, 1115 or AP Micro score of 4 or 5. 1 Credit. Session A: May 25 – June 26. Session B: June 29 – July 31. Tuition: $5480. Technology Fee: $85.

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