In a data-driven world, the ability to analyze and interpret information is critical. Harvard University’s Professional ...

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 ...

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 ...

Forbes contributors publish independent expert analyses and insights. I write about the broad intersection of data and society. One of the greatest failures of data science has been the way in which ...

Scientists learn about the brain's inner workings by studying what animals or people do, how they move, react, and make ...

Who is the Master's in Data Science for? Drexel’s College of Computing & Informatics' Master of Science in Data Science (MSDS) is designed for students with or without a bachelor’s degree in Data ...

'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 ...

As our economy, society and daily life become increasingly dependent on data, new college graduates entering the workforce need to have the skills to analyze data effectively and from multiple angles.