To introduce the student to the basic principles and tools of Bayesian Statistics and most importantly to Bayesian data analysis techniques. A major goal is to establish a firm foundation in the ...

Statistics is a branch of math that involves the collection, description, analysis, and inference of conclusions from quantitative data. But what is a statistic? Let’s find out. The word ...

Specialization: Statistical Modeling for Data Science Applications Instructor: Dr. Brian Zaharatos, Senior Instructor of Applied Mathematics, Director of the Professional Master’s Degree in Applied ...

Problems involving causal inference have dogged at the heels of statistics since its earliest days. Correlation does not imply causation, and yet causal conclusions drawn from a carefully designed ...

Participants should have studied introductory statistics or quantitative methods before, up to an introduction to descriptive statistics and basic statistical inference. Students with no previous ...

Statistics is about inference under uncertainty, ie in situations where deductive logic cannot give a clearcut answer. In these situations our decisions must be assessed in terms of their ...