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

Cornell’s CU GeoData project team brings together engineering and earth science students to design and deploy low-cost ...

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 to ...

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 takes ...

WEST LAFAYETTE, Ind. — Data scientists who can make sense of today’s epic floods of data to generate actionable insights and communicate them to a variety of audiences are in demand in almost any ...

Data science startup RapidCanvas Inc. today announced that it closed a $16 million funding round led by Peak XV,. Titanium Ventures, Accel and Valley Capital Partners also contributed to the ...

At Bucknell, students learn to do more than consume and produce data — they develop an understanding of how to use data, no matter their course of study. The Dominguez Center for Data Science is a ...

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 ...

In this special guest feature, Afrozy Ara, Head of Data Science practice at Incedo, suggests that given the difficulty in running a successful data science project, there are some specific reasons why ...

Purdue University's online Master's in Data Science will mold the next generation of data science experts and data engineers to help meet unprecedented industry demand for skilled employees. The ...

Want to start a career as a data scientist? Learn how to become a data scientist with career tips, education requirements, and practical tips. Data scientists are in high demand—and for good reason.

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw for ...