DSE 537 - Introduction to Data Analysis and Data Mining

3 Credit Hours

Topics include: data visualization, data summaries, missing data, study design, communicating results, linear regression, ANOVA, decision trees, random forests, support vector machines, model diagnostics, cross validation, bootstrap, reproducible research skills. Hands on projects.
Registration Restriction(s): Minimum student level – graduate.

Undergraduates

Graduate Students

DSE 537 - Introduction to Data Analysis and Data Mining