The Center for Statistics and Advance Analytics provides support to Boston College researchers related to the collection and the analysis of data. This includes Data Science, Geographic Information ...

Learning statistics is essential for pursuing a career in data science or analytics. Data scientists and analysts use statistics to uncover the meaning behind data.

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 ...

Leveraging AI to help analyze and visualize data gathered from a variety of data sets enables data-driven insights and fast analysis without the high costs of talent and technology. In today's ...

This course is designed for students intending to pursue further study in statistics or any other field involving the analysis of data, especially those targeting roles in consulting, government and ...

Math is applied to nearly every field and industry, and studying statistics and data analysis prepares students for many opportunities.

Four integrative data analysis strategies for mixed-method evaluation designs are derived from and illustrated by empirical practice: data transformation, typology development, extreme case analysis, ...

Compositional data, consisting of vectors of proportions, have proved difficult to handle statistically because of the awkward constraint that the components of each vector must sum to unity. Moreover ...