Collecting data; summarizing and displaying data; drawing conclusions and making decisions using data; probability background, confidence intervals, hypotheses tests, regression, correlation. Not open ...

Statistics Notes: Check this article for detailed notes on Statistics by subject matter experts. These notes are designed to help students from Class 9 to 12 thoroughly understand and master ...

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 ...

*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.

Understanding numbers isn’t just for scientists or students. It’s a skill that helps you make smarter choices in your everyday life. Whether you’re calculating the odds of something happening, ...

The world is full of uncertainty: accidents, storms, unruly financial markets, noisy communications. The world is also full of data. Probabilistic modeling and the related field of statistical ...

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 ...

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 ...