Statistics is the science of analyzing data; the use of statistics is ubiquitous in science, engineering, medicine and epidemiology, marketing, and many other application areas. Probability theory ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Circular statistics is a specialised subfield of statistics that focuses on analysing data points distributed on a circle. Unlike conventional linear statistics, circular data is characterised by ...

Measurement shows that almost one-half of all market days are down days and slightly more are up days, but close enough to think of it as 50/50. Just as the probability of getting a long string of ...

Introduction to probability theory and statistical methods necessary for analyzing the behavior of processes and experiments. Statistical tests for detecting significant changes in process parameters.

*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.

In this three-course specialization, you’ll build a strong mathematical foundation in probability, statistics, and basic stochastic processes with direct applications to data science and AI. You’ll ...

The Centre for Probability, Statistics and Data Science covers three broadly overlapping main areas of research: probability, statistics and data science. Probability theory is a core topic within ...