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.

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 ...

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.

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 ...

Moving data science into production has quite a few similarities to deploying an application. But there are key differences you shouldn’t overlook.

The five surprising tips for pharmaceutical leaders starting their data science journey. Here’s how you must pick the right analytics projects, secure funding, build an early team, source data ...

Workspaces 2.0 also integrates with Git, and enables teams to store their files within Git, which can help with the iteration cycle. But Workspaces goes beyond that to basically enable diverse teams ...