Researchers have developed a new method -- 'Pixel Approximate Entropy' -- that measures the complexity of a data visualization and can be used to develop easier to read visualizations. 'In fast-paced ...

The future of data science at Yale will reside on one of the top floors of a re-imagined Kline Tower on Science Hill, starting in 2023 — but the university, its researchers, and the new Institute for ...

The purpose of this course is to share the methods, models and practices that can be applied within data science, to ensure that the data used in problem-solving is relevant and properly manipulated ...

The story of how data scientists became sexy is mostly the story of the coupling of the mature discipline of statistics with a very young one--computer science. The term “Data Science” has emerged ...

This program trains the next generation of geographic data and quantitative social scientists who are interested in understanding how to use data science and other quantitative methods to tackle ...

In an era when data-driven decisions and systems influence every sector of business and society, talented professionals who bring an ethical framework to data science are more in demand than ever. The ...

UBC researchers have developed a data science method that analyzes how easily citizens can access hospitals and walk-in health clinics - and it's a tool that could eventually help city planners and ...

Mikeie Reiland is a staff writer for Education at Forbes Advisor. Before coming to Forbes Advisor, he wrote magazine journalism for publications like the Oxford American, Bitter Southerner, and Gravy.

'Pixel Approximate Entropy' technique quantifies visual complexity by providing a score that automatically identifies difficult charts; could help users in emergency settings to read data at a glance ...

Data science is an essential field within computer science and machine learning that uses statistics, algorithms, and technology to make meaningful analysis and predictions from large amounts of data.