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 ...

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 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 ...

It is hard to teach statistics. “It’s hard to learn, too,” says psychology major Margaret Foster ’15 of York, Maine. It’s a staple of the social sciences, yet learning stats has bedeviled generations ...

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

Stand Out With This 100% Online Certificate. In a data-driven world, you can build the specialized skills needed to meet the growing demand for those with applied statistics expertise. With Michigan ...

The course provides a precise and accurate treatment of probability, distribution theory and statistical inference. As such there will be a strong emphasis on mathematical statistics as important ...

Prereq., one semester calculus-based probability course, such as MATH 4510 or APPM 3570. Same as APPM 4520 and MATH 5520. Prerequisites: Restricted to Graduate Students only. Usually offered every ...

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 ...