|Big Data has buzzed around for quite some time now, and every startup and enterprise alike is looking for Data Scientists to come work for them.|
I have never really looked beyond the buzz for techniques for my own work, but (I'll admit it) stuff like what FiveThirtyEight is doing has piqued my interest, and I've realized I need to learn some tricks.
Where do I begin? I've taken some statistics classes, but as a CS student I have always prioritized different subjects, so I never felt that I learned enough.
To take a more practical example, because I'm still trying to wrap my head around the actual benefits I can extract from large amounts of data:
Let's say I sell tickets to events, and I have a log of every ticket sold.
Where it was sold (physical location or website), all info about the event, whether it was refunded, and so on. Pretty much all info you'd need about a ticket. In what concrete ways could I extract value from this data?
I'd wager I'm not the only one here on HN that would really like some pointers on how to get started in this subject!