In the world of data science, there are three core problems: acquiring data, doing the math and taking action. Two of those drive data scientists crazy; the other one they find easy. “Doing the math” ...

Business investment in data science is one of the most important advances of the past decade. While some may argue data science has already worked its way into every industry, there are still areas ...

The University of Connecticut always allowed flexibility in creating new, unique majors, but the immense student demand for one in particular—data science—came as a surprise. “It was almost getting ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of payments. We live in a world where machines can understand speech, recognize faces, and even generate ...

Design thinking is critical for developing data-driven business tools that surpass end-user expectations. Here's how to apply the five stages of design thinking in your data science projects. What is ...

Apache Spark and Hadoop, Microsoft Power BI, Jupyter Notebook and Alteryx are among the top data science tools for finding business insights. Compare their features, pros and cons. While data has its ...

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 ...