Volgenau School of Engineering
George Mason University
George Mason University Mason
George Mason University

STAT 515: Applied Statistics and Visualization for Analytics

Instructor Information

Section Information

Introduces multivariate regression and random forests for modeling data. Addresses data access, variable selection and model diagnostics. Introduces foundations for visual thinking. Reviews common statistical graphics such as dot plots, box plots, q-q plots. Addresses more advanced methods such as scatterplot matrices enhanced by smoothed or density contours, and search tools for finding graphics with suggestive patterns. Notes: Course will introduce R software for analysis. A final project will involve visualization of a real data set.

Course Information from University Catalog

Not Repeatable


Introduces multivariate regression and random forests for modeling data. Addresses data access, variable selection and model diagnostics. Introduces foundations for visual thinking. Reviews common statistical graphics such as dot plots, box plots, q-q plots. Addresses more advanced methods such as scatterplot matrices enhanced by smoothed or density contours, and search tools for finding graphics with suggestive patterns.

When Offered: Fall, Spring

Hours of Lecture or Seminar per week: 3

Course will introduce R software for analysis.  A final project will involve visualization of a real data set.

Credits: 3

Prerequisites:

STAT 250 or equivalent.

Instructor Information