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 ...

Predictive modeling of data using modern regression and classification methods. Multiple linear regression; logistic regression; pitfalls and diagnostics; nonparametric and nonlinear regression and ...

Hypothesis testing is a branch of statistics in which, using data from a sample, an inference is made about a population ...

Browse the map to see the overall SPI scores for 186 countries. The SPI framework assesses the maturity and performance of national statistical systems in five key areas, called pillars. The five ...

A practical approach to analysing New Zealand data includes data cleaning, statistical summaries, data wrangling, visualisation and predictive modelling. Includes an exploration of the statistical ...

Research team developed PathActMarker, a software package for pathway activity inference and analysis. It preprocesses gene ...

The SCC is a group of statisticians who provide consultation on all aspects of data collection, analysis and interpretation. The Center is funded by the University to promote high quality statistical ...

As you progress, you’ll build your understanding of classical and modern data analytics techniques, modelling, statistical machine learning, and AI. You’ll learn how to carry out typical workflows in ...

If you want to improve the world through the responsible use of data, the MSc in Data Science will give you the skills to do so. You will learn how to understand, in depth, the computational and ...