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

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 ...

I n the rapidly evolving field of Data Science, technical skills such as programming, statistics, and machine learning are ...

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 ...

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 ...

The data engineering trends clearly show a move toward maturity. The emphasis is on building reliable, repeatable, and ...

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

This fall, the Dornsife College of Letters, Arts and Sciences launched a new master’s of science graduate program in ...

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 ...

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 ...