Making Agile work for data science

In this episode of Leaders of Code, Stack Overflow’s Chief of Product and Technology, Jody Bailey, sits down with Dana Lawson, CTO at Netlify. Dana shares her insights on leading a lean, globally distributed engineering team that powers 5% of the internet. The conversation touche ...  Show more

Ryan sits down with Chainguard CEO Dan Lorenc to chat about how his team is keeping the foundation of the internet—open source projects—alive by forking archived but widely-used repos to provide security maintenance and dependency upgrades. They also discuss open source’s sustain ...  Show more

The most common application for data science is to solve problems within your own organization, and as professionals become more data literate, they rely less and less on others to solve their problems and unlock professional growth and career advancement.But in the world of cons ...  Show more

We revisit the 2018 Microsoft Build in this episode, focusing on the latest ideas in DevOps. Kyle interviews Cloud Developer Advocates Damien Brady, Paige Bailey, and Donovan Brown to talk about DevOps and data science and databases.

For a data scientist, what does it e ...

“Garbage in, garbage out.” It’s a philosophy every data leader is familiar with. Your algorithms and models are only as good as the data you put in them -- so how do you ensure the data you are leveraging is reliable and trustworthy? 

Joining Cindi today is Opendoor Co-f ...

The data science field is expanding because so many businesses and other institutions require skilled workers who can manage data as well as provide insights. Companies and students are clamoring for more academic programs. There is great need, but academic institutions are st ...