Overview: Free datasets are essential for practice, research, and AI model development.Platforms like Kaggle, UCI, and Google ...

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 ...

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

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

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.

“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 ...

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 ...

Should you earn a master’s in data science? Dig into the requirements and potential outcomes for this degree. Learn about admissions and specializations.

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?