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.

Better customer retention. By identifying dissatisfaction early, sentiment analysis aids proactive interventions, which helps to reduce churn and improve loyalty. Transformative business insights.

Sentiment analysis — a sophisticated tool that interprets the emotional tone behind words, giving brands a lens into how their services or products resonate. Customer feedback is a treasure trove of ...

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 ...

Forbes contributors publish independent expert analyses and insights. Wayne Rash is a technology and science writer based in Washington. LUX Election 2020, a big data analysis program running on a ...

“The data science master’s program at UB has helped me to bridge the technical gaps between my undergraduate mathematics background and the skills required to start out in the data science industry.

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 ...