Pedro Morales-Almazan leads a new data science project that will provide professional development and facilitate cross-discipline collaborations.

I've identified collaboration as one of the critical gaps that organizations must bridge to transform their data science success rates.

“Data-Driven Thinking” is written by members of the media community and contains fresh ideas on the digital revolution in media. Today’s column is written by Ellen Houston, managing director of ...

Choosing a right solution that delivers end-to-end automation of the data science process, including automated data and feature engineering, is the key to success for a data-driven company.

A significant percentage of data science projects continue to fail. With the rise of artificial intelligence, we are witnessing similar failures and growing concerns about the return on investment ...

The need for ethical data scientists in today's society is greater than ever before. The Online Master of Science (M.S.) in Data Science empowers you to apply technical methods and consulting skills ...

For example, one of his company’s early data science projects created size profiles, which could determine the range of sizes and distribution necessary to meet demand.

The Dominguez Center for Data Science advances the scholarship of data science by fostering cross-college, data-integrated learning and excellence in data literacy among students.

RIT is uniquely positioned as a leader in each of the colliding disciplines—mathematics, statistics, computer science, and data processing—that define data science. Designed for working professionals ...

Faculty and students conduct research on fundamental and applied topics related to all aspects of data science, including statistical analytics, data management systems, high performance and ...