Explain why probability is important to statistics and data science. See the relationship between conditional and independent events in a statistical experiment. Calculate the expectation and variance ...

Vast amounts of data are generated every day. Statistics transforms data into meaningful information. People who practice the science of learning from data are called statisticians. Statisticians ...

Thanks to the information revolution, a stunning 90% of the data created by humanity has been generated in just the past two years. Yet the math taught in U.S. schools hasn’t materially changed since ...

*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.

Statistics is the science of learning from data. The theoretical foundation of statistics lies in probability theory, which is applied to decision-making under uncertainty. Data science consists of ...

Statistics influence nearly everything. That is, the information and context derived from statistical analysis help to shape important decisions that have local, national, and global impacts. For ...

Collect, organize, analyze, and interpret data to understand and overcome challenges. Explore a degree in statistics to find meaningful insights. Find the resources of a large university in a small ...

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 ...

What’s often misunderstood about Google’s incrementality testing and how Bayesian models use probability to guide better ...

When you’re in a technical job interview, storytelling is the key to your success - and that success rides on numbers. Talking about data, statistics and science is crucial to explaining the scope of ...