For more than half a century, data analysts have used graphs to represent statistical models. In particular, graphical "conditional independence" models have emerged as a useful class of models.

Statistical modeling lies at the heart of data science. Well-crafted statistical models allow data scientists to draw conclusions about the world from the limited information present in their data. In ...

This report is a study of statistical models and methods for analyzing nonstandard mixtures of distributions in auditing. It was prepared by the Committee on Applied and Theoretical Statistics of the ...

A second course in statistics with an emphasis on data analysis with applications in the social sciences. Students will gain hands on experience using R-- a programming language and software ...

304-0IEMS 304: Statistical Learning for Data Analysis VIEW ALL COURSE TIMES AND SESSIONS Prerequisites IEMS 303 or equivalent; CS 150 or equivalent Description Predictive modeling of data using modern ...

The purpose of the course is to introduce the statistical methods that are critical in the performance analysis and selection of information systems and networks. It includes fundamental topics as ...

Data analysis, the conduit from raw information to actionable insights, enhances decision-making and problem-solving.

Bachelor of Arts in Statistics & Data Science Our students become well-rounded critical thinkers who understand statistical methods and cutting-edge data analysis, and who go on to enjoy careers as ...