On that note, let me quote another relevant snip from there.Q: Your job sounds extremely interesting. What jobs would you recommend to a young person with an interest, and maybe a bachelors degree, in economics?
A: If you are looking for a career where your services will be in high demand, you should find something where you provide a scarce, complementary service to something that is getting ubiquitous and cheap. So what’s getting ubiquitous and cheap? Data. And what is complementary to data? Analysis. So my recommendation is to take lots of courses about how to manipulate and analyze data: databases, machine learning, econometrics, statistics, visualization, and so on. (emphasis mine)
Incidentally, I'm looking for a industry change (Internet services to media) and just a couple of days back I was thinking that analytics could be one of my transferable skills.Q: You once said that “marketing is the new finance,” because of the data and tools that are now available. In your opinion, what are the three most useful quantitative techniques for analyzing this kind of data? To what extent does Google use this type of analysis?
A: The three most important techniques, in my opinion, are: 1) experimental design and analysis; 2) regression; and 3) Bayesian methods. We use the first two extensively, and are beginning to use Bayesian techniques more. (links to wikipedia added by me)
