The Chicken and Egg Problem of Data Science

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...

Is Context More Valuable Than Data?

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...

The 5 Must-Read Books for the Self-Taught Data Scientist

Take your pick of articles related to learning about strategies used by the uber-wealthy and you’ll find a common theme: spending at least five hours per week on deliberate self-learning. Try these on for size: “Be like Bill Gates and Warren Buffett: If you’re not...

Is There Room for Excel in Data Science?

This question has been plaguing me ever since a recent series of events transpired. The first was when, while attending a data science webinar, one of the presenters commented, “If you can solve it in Excel, then it is not a data science problem.” Not long after, I...