No matter what medium of content you consume these days (podcasts, articles, tweets, etc.), you[he]#039[/he]ll probably come across some reference to data. Whether it[he]#039[/he]s to back up a talking point or put a meta-view on how data is everywhere, data and its analysis are in high demand. As a programmer, I[he]#039[/he]ve found data science to be more comparable to wizardry than an exact science. I[he]#039[/he]ve coveted the ability to get ahold of raw data and glean something useful and concrete from it. What a useful talent!

Source: LXer – Formatting NFL data for doing data science with Python