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 ...

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...

He teaches courses in research methods, applied statistics, and psychometric theory and practice ... We hope to work with you to produce publication level graphics. We can work with graduate students ...

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 ...

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.

At the Department of Mathematics and statistics, people from students to senior researchers constantly produce internationally high quality work. The active research is reflected ... The Finnish ...

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 ...

Our students explore traditional statistical methods as well as cutting-edge data analysis and problem-solving strategies that can be used to solve real-world problems. Because statisticians and data ...

The Data Science and Statistics ... offers extensive coursework and intensive research experience in theory, methodology and applications of statistics. During their study, PhD students acquire the ...

As demand for social data production, collection and analysis increases — driven by government, nonprofit and private sector organizations, as well as doctoral programs and advanced research ...