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 ...

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 ...

Good data are a building block of scientific advancement and discovery, and innovative research depends on it. But as researchers know, utilising data is a multi-faceted challenge, and the process of ...

The Department of Applied Mathematics offers a Bachelor of Arts degree in statistics and data science through the College of Arts and Sciences. The BA degree is designed with an emphasis on inter- and ...

The Statistical & Data Sciences (SDS) Program links faculty and students from across the college interested in learning things from data. At Smith, students learn statistics by doing—class time ...

The Bachelor of Arts degree in Statistics and Data Science (STAT) offered by the Department of Applied Mathematics at CU Boulder is designed with an emphasis on inter- and cross-disciplinary training.

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 details in the schedule ...

‘Data Analysis: Conducting and Troubleshooting’ introduces the key concepts, processes and methodologies of effective data analysis during research projects. In this course, researchers will discover ...

This second course of the Data-Driven Decision Making (DDDM) series provides a high-level overview of data analysis and visualization tools, preparing learners to discuss best practices and develop an ...

Let’s start with a definition of Applied Statistics: Applied Statistics is the root of data analysis. The practice of applied statistics involves analyzing data to help define and determine an ...