At Smith, students learn statistics by doing—class time emphasizes problem-solving and hands-on contact with data. Many courses employ student-driven projects that allow students to pursue their ...

Let’s take a closer look at the broad importance of statistics. Along the way, you’ll see how seizing an opportunity to learn statistics, earn a related degree—such as the Online Master of Science in ...

“I had to take statistics, and forget it ... and the Spinelli Center for Quantitative Learning addresses that problem head on. The Math Success at Smith team is a group of faculty and staff across the ...

Experiential learning is central to the Statistics and Data Science experience. Through internships, research, and study abroad programs, you’ll apply classroom knowledge to real-world problems, ...

Through Data Analytics and Social Statistics, you will learn the practical, applied knowledge to empower you to unleash the true value of data. Throughout this course, you will learn to carry out ...

Applied statistics and statistical learning (ASSL) is the process of using data relationships and computer models to drive business value, improve decision-making, and understand human relationships.

This workshop, presented by the IMF Statistics Department, is aimed at country officials from NSOs and central banks who are seeking to acquire the knowledge and skills necessary to leverage Big Data ...

The applications are numerous The LSE has a long and distinguished history in time series analysis and the Department of Statistics has a developing interest in various aspects of statistical learning ...

A vibrant environment in which students appreciate the beauty of mathematics and statistics The Mathematics & Statistics Learning Centre is available to help students enrolled in many of our ...