This is an introductory course in statistics. Topics that we will cover include elementary statistical measures, statistical distributions, statistical inference, hypothesis testing and linear ...

This course introduces the theoretical, philosophical, and mathematical foundations of Bayesian Statistical inference. Students will learn to apply this foundational knowledge to real-world data ...

A semester-long study of topics in Statistics. Topics and emphases will vary according to the instructor. This course may be repeated for credit with different topics. See the New and Topics Courses ...

The purpose of the course is to introduce the statistical methods that are critical in the performance analysis and selection of information systems and networks. It includes fundamental topics as ...

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

The field of statistics is a fundamental cornerstone of clinical and public health research, playing a key role in improving scientific understanding and developing successful health policy. This ...

This course introduces students to statistics and quantitative information. The course surveys probability theory, hypothesis testing, descriptive statistics and visualizations, and inferential ...

This course is compulsory on the MRes in Accounting (EoA) (Economics of Accounting Track), MRes in Economics, MRes in Economics and Management, MRes in Finance, MSc in Economics, MSc in Economics (2 ...

Data Science combines scientific inquiry, statistical knowledge and computer programming with a focus on learning powerful insights from big data. Businesses use data to plan, evaluate, innovate, and ...