She has emerged as a recognized data scientist who has carved out a niche through her course of professional development and the resulting achievements which have impacted the industry as a whole.

Another reason self-paced learning is so effective is that it mirrors how professionals work in real life. Data science ...

Sports coaches have always made decisions based on experience, observation and intuition. But they are increasingly relying ...

What is data science and why is it important? Data science is a multidisciplinary field that focuses on the extraction of information from large amounts of data. It combines statistics, computer ...

These distinguished scholars will join the Johns Hopkins Data Science and AI Institute's growing research community, collaborating with faculty across a wide range of academic disciplines and division ...

As AI and data science mature, they present a unique opportunity to revolutionize drug discovery, diagnostic accuracy, resource allocation and patient outcomes.

Contemporary Analysis (CAN) is producing the CANalytics data science conference in Omaha this spring. The event will feature industry experts, tech demos, networking, awards and a ceremony for recent ...