6. Build a data science team Hiring the right people is critical for the success of any new data science initiative. Interestingly, the best prospects are likely to share a set of similar traits.

In today’s data-centric world, the significance of data science in project management is immense. Despite its initial appeal, data science is often misunderstood. Its influence spans various ...

I've identified collaboration as one of the critical gaps that organizations must bridge to transform their data science success rates.

“Data-Driven Thinking” is written by members of the media community and contains fresh ideas on the digital revolution in media. Today’s column is written by Ellen Houston, managing director of ...

For example, one of his company’s early data science projects created size profiles, which could determine the range of sizes and distribution necessary to meet demand.

Pedro Morales-Almazan leads a new data science project that will provide professional development and facilitate cross-discipline collaborations.

Capstone projects are academic semester-long experiences for students nearing graduation. Student teams complete a substantial data science project that solidifies knowledge gained in the classroom ...

This article gives a detailed explanation of master’s degrees in data science, including admission requirements, common courses, specializations and career options.

The need for ethical data scientists in today's society is greater than ever before. The Online Master of Science (M.S.) in Data Science empowers you to apply technical methods and consulting skills ...

Through the new undergraduate major in data science available in the 2021-22 academic year, University of Chicago College students will learn how to analyze data and apply it to critical real-world ...