This course is compulsory on the MSc in Data Science and MSc in Operations Research & Analytics. This course is available with permission ... This course covers most frequently used statistical ...

We offer statistical consulting to researchers, faculty and student involved in research at Boston College. We provide consultation on all aspects of data collection, analysis and interpretation. We ...

Predictive modeling of data using modern regression and classification methods. Multiple linear regression; logistic regression; pitfalls and diagnostics; nonparametric and nonlinear regression and ...

Applied statistics and statistical learning (ASSL) is the process of using data relationships and computer models to drive business value, improve decision-making, and understand human relationships.

A topic of SDS 300 A research seminar (normally 300-level) or special studies of at least two credits. Normally, the domain would be outside of mathematics, statistics, and computer science. A ...

The robust statistics and time series analysis group focuses on estimation as well as in-sample and out-of-sample diagnostic methods for statistical models. Those include for example regression models ...

Reputable research software like ATLAS.ti or any others you're well-versed with can significantly help here. These tools can ...

Our work on computational statistical methods include Bayesian inference, functional data analysis, large-scale statistical inference, and non-parametric estimation. Chengchun's research lies in ...

trains students to become effective interdisciplinary collaborators who can apply statistical analysis and data science to enable and accelerate research on campus and making data-driven business ...

In spatial transcriptomics data analysis ... methodologies—including statistical approaches—and applications, while proposing future research directions.

As the study of large populations, statistics are in an inherent part of demography. On this pathway, you’ll develop the essential skills and knowledge required for excellence in population research.