Overview:  Python and Jupyter offer a simple, powerful setup for beginner-friendly data science learning. Real-world datasets ...

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.

They cover key skills such as Python, SQL, statistics, machine learning, deep learning, data engineering, MLOps and ...

From speaking with leaders in industry and academia, we know that our students are hired by companies and invited to join prestigious labs based on the strength of their portfolios. Therefore, instead ...

Construction profit margins are notoriously thin. One underperforming project can erase a portfolio’s gains. For executives, this fragility brings enormous pressure, yet they’re often the last to know ...

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 ...

The ability to manage, scale, and accelerate an entire data science discipline increasingly separates successful organizations from those falling victim to hype and disillusionment. While data ...

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 ...