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

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 ...

The field of data analytics is developing rapidly. With the rise of ever larger and more specialised datasets, it’s essential to understand how to collect, handle, evaluate and interpret data to ...

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 ...

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

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 ...

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 ...

This course is compulsory on the MRes/PhD in Accounting (EoA) (Economics of Accounting Track) , MRes/PhD in Economics, MRes/PhD in Finance, MRes/PhD in Quantitative Economic History, MSc in Economics, ...

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 ...