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 Bachelor of Science in Statistics and Data Science is the college’s newest major. The curriculum is designed to equip students to execute all stages of a data analysis, from data acquisition and ...

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 ...

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 ...

This hands-on workshop will show you how to use Minitab® to collect, manipulate, analyze and graph data effectively. Basic statistical techniques are briefly described but the focus is on helping you ...

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...

This is an interdisciplinary Master of Science program offered jointly by the Department of Statistics (COAS) and the Department of Computer Science (CEAS), housed in the Department of Statistics.

We are starting off the course with a busy week. This week's module has two parts. In the first part, after a quick introduction to Deep Learning's exciting applications in self-driving cars, medical ...

Accuracy, impartiality, clarity and credibility are as important when numerical values and data are deployed in the BBC's output as they are in the rest of its journalism and other output. Content ...