Today’s students have grown up their entire lives immersed with technology at their fingertips and have been coined “digital natives” — native speakers of the digital language of computers, video ...

Data scientists are among the most in-demand these days and that has much to do with the newfound fascination for robotics and automation. So, whether it’s self-driving cars or making sense of a bunch ...

Tell me about your dog. What type is it? What color is it? How much does it weigh? If you’ve got a cat, same questions apply. What’s the dog-to-cat ratio in your classroom (or office or home)? If ...

What implications does the emergence of data science have for colleges and universities? This fundamental question leads to many other related questions, such as the following: How are tools and ...

A new textbook from three Northwestern Engineering faculty members highlights an exciting new way to solve problems using the growing discipline of data science. Traditional data science methodologies ...

“I don’t want students leaving Yale and going through life with a feeling that everything powered by big data and algorithms is a black box,” said Alan Gerber, dean of social science and the Charles C ...

When Eric Weber, professor and chair of mathematics at Iowa State University, talks about data science with future math teachers, he doesn't begin with code, algorithms, or buzzwords. Instead, he asks ...

Data science encompasses the theoretical and practical application of ideas, including Big Data, predictive analytics, and artificial intelligence. If data is the oil of the information age and ML is ...

The data science in engineering micro-credential program provides basic training in data science practice and communications. You will have the opportunity to engage in project-based learning, ...

Develop interdisciplinary skills in data science and gain knowledge of statistical analysis, data mining, and machine learning from one of the nation’s top-ranked Tier 1 research institutions. Earn ...

As companies continue to grow their data assets, the need to extract meaningful information -- and business value -- from that data is becoming increasingly important. Analyzing and gleaning insights ...