Data Science

I would like to understand how people can build these skills out in a more quantifiable way, or if we could bucket them into different things. When we're in an interview process, when we're solving one of these problems, not every step is quantified. And so we need to build in our experience and our expertise over time. I think there's probably too much focus on the machine learning side of data science. But another side of data Science is also doing things that no one is actually doing or solve problems that no one had actually thought about using data to solve.