Design thinking is critical for developing data-driven business tools that surpass end-user expectations. Here's how to apply the five stages of design thinking in your data science projects.

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 ...

Did you know that over 80% of AI projects fail? That's twice the failure rate of regular IT projects. A Gartner survey found that only 48% of AI projects make it to production, and it typically ...

Nino Letteriello is a data and project management leader, DAMA Award winner, WEF author, UN advisor, MIT lecturer & FIT Group co-founder. A significant percentage of data science projects continue ...

Specialization: IBM Applied Data Science Professional Certificate Instructor: Ami Gates, Teaching Professor Prior knowledge needed: Students can take this class first in the program if they have ...

Data science projects don’t take as much time to stand up and get running in Python as they might in other languages. It also helps that an existing culture of data science provides many fast ...