Beginners should undertake data science projects as they provide practical experience and help in the application of theoretical concepts learned in courses, building a portfolio and enhancing skills.

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your ...

All students pursuing the MS in Data Analytics & Visualization (DAV) are required to create a digital portfolio that must be approved by their faculty advisor before they are permitted to graduate.

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 ...

This course focuses on developing the foundational skills of a modern data scientist including data cleaning, wrangling, visualization, and communication. Students will actively engage with R and ...

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 ...

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 ...

A watchkeeper analyzes Skylight rendezvous alerts at an operations center in Accra, Ghana. Skylight is a maritime monitoring program that will be transferred from Vulcan Inc. to the Allen Institute ...

The Willamette MSDS program was designed to develop skills that are relevant to the modern tech landscape. AI is transforming the world and impacting organizations at all levels, and ethics, machine ...