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 ...

Statistical modeling lies at the heart of data science. Well-crafted statistical models allow data scientists to draw conclusions about the world from the limited information present in their data. In ...

id=7022). This course covers most frequently used statistical methods for data analysis. In addition to the standard inference methods such as parameter estimation, hypothesis testing, linear models ...

This online data science specialization is designed to provide you with a solid foundation in probability theory in preparation for the broader study of statistics. The specialization also introduces ...

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 ...

In the ever-evolving landscape of technology and business, professionals across various industries are increasingly turning to data to inform decision-making and strategy. One effective pathway to ...

A technique for quantifying tumor mRNA production from messy tissue sample data uncovers an unexpected correlation between it and disease stage in 15 cancer types.

Joules Garcia / Investopedia Statistical significance is a claim that the data used in an analysis is not the result of chance but is attributed to a specific cause. What Is Statistical Significance?

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 ...

This important study shows how the relative importance of inter-species interactions in microbiomes can be inferred from empirical species abundance data. The methods based on statistical physics of ...

The answers rely on population data. But counting people is getting harder. For centuries, census and household surveys have been the backbone of population knowledge. But we've just returned from the ...