Data Exploration and Analysis

Data Exploration and Analysis

S&DS S2300 (CRN: 30152) | Syllabus

Instructors: Jonathan Reuning-Scherer
Dates: Session B, June 29 - July 31, 2026
Course Mode: Online
Meeting Times: MWF 10.00-11.30
Distributional Requirements: Quantitative Reasoning
Eligibility: Open to pre-college and college students

Online Course. Survey of statistical methods: plots, transformations, regression, analysis of variance, clustering, principal components, contingency tables, and time series analysis. The R computing language and Web data sources are used. Prerequisite: a 1000-level Statistics course or completed AP Statistics with a score of a 4 or 5. 1 Credit. Session B: June 29 – July 31. Tuition: $5480. Technology Fee: $85.

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