Yet, for many companies, implementing data science into various aspects of their businesses can prove difficult if not daunting. According to Gartner analyst Nick Heudecker, over 85% of data science ...

University students volunteer to solve problems with data-focused solutions at Volunteer Open Projects initial meeting.

Two other CDC scientists who requested anonymity described the project as a one-stop-shop for all notifiable conditions, ...

Learn the essential steps to launch your data science project successfully—from planning and data collection to modeling and ...

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

Data science project management is a specialized approach that blends technical expertise with business objectives to ensure successful outcomes in data science projects.

These days every data project is a data-science project — and business stakeholders must take an active role in data science to realize the expected value.

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 ...

And third, updating a production data science process reliably is often so difficult, it’s treated as an entirely new project. What can data science learn from software development?