At its core, a business is in business to solve problems: Lawyers solve legal problems. Supermarkets provide a solution for what to eat. YouTube solves the problem of not having a central repository to watch cat videos. You get the idea. As a data scientist, you...
A line from a Harvard Business Review article by Thomas Redman recently caught my eye: Great data scientists are deeply curious about the data and everything surrounding it.Redman’s article resonated with me because it focuses on something that I focus on with my...
In 2011, Harvard Business Review described data science as “the sexiest job of the 21st century” — and readers went gangbusters. The tech industry saw a surge of postings and interest for a position that hadn’t officially existed even a few years earlier. But the...
What comes first, the problem or the data? When it comes to data science, the discipline may have a chicken-and-egg problem. Just take a look at this Reddit post: Now take a look at one of the replies: The problem that poster obiwancannotbe23 has is that they are...
When working with data, it’s easy to fall victim to analysis paralysis. Rather than get down to the task at hand, we can get sidetracked by discussions, such as whether we should impute the mean or mode of a given dataset when handling missing data. As data folks, we...
