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 ...

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, ...

Looking for an examination copy? If you are interested in the title for your course we can consider offering an examination copy. To register your interest please contact [email protected] ...

The curriculum is designed to equip students to execute all stages of a data analysis, from data acquisition and exploration to application of statistics and machine learning methods to the creation ...

The extensive discussion of Bayesian software - R/R-INLA, OpenBUGS, JAGS, STAN, and BayesX - makes it useful also for researchers and graduate students from beyond statistics. ‘An introduction to ...

Equal Opportunity and Nondiscrimination at Princeton University: Princeton University believes that commitment to principles of fairness and respect for all is favorable to the free and open exchange ...

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 ...

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.

It provides high-level training in statistics with applications in finance. You'll learn to analyse and critically interpret data, build statistical models of real situations, and use statistical ...

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 ...