A few people have asked me this question just this past week. I usually point them to this thread in the forums. Any other suggestions?
The visual data twitter list by @webmuesli is quite a good start to see what’s going on currently:
http://twitter.com/webmuesli/visual-data or for those who don’t tweet, check out the newspaperized format: http://paper.li/webmuesli/visual-data
I highly recommend Stephen Few’s 3 day course. You can find it here: http://www.perceptualedge.com/courses.php
I don’t know of anyplace else you can get so much information around data visualization in such a short period of time.
His books are also great (http://www.perceptualedge.com/library.php) but don’t hold a candle to the courses that he teaches himself.
I would not say it’s a matter of schooling, though if I had to choose something it would be statistics, but it could be any quantitative discipline mixed with some facility with computers.
A better take on it is this post : http://dataspora.com/blog/sexy-data-geeks/
Knowledge of some scripting is essential if you are looking at big datasets, but more important is persistence.
The biggest hurdle is getting data into a form that you can work with. “Real” data sources are often flawed and it takes a lot of work to make sure that you are actually even working with the numbers that you think you are.
Become a member.
Learn to visualize your data.
From beginner to advanced.
What you get
We know when people usually get married. We know who never marries. Finally, it’s time to look at the other side: divorce and remarriage.
Due to budget cuts, there is no plan for an updated atlas. So I recreated the original 1870 Atlas using today’s publicly available data.
There are a lot of great craft breweries in the United States, but there is only so much time. This is the computed best way to get to the top rated breweries and how to maximize the beer tasting experience. Every journey begins with a single sip.
So far we’ve seen when you will die and how other people tend to die. Now let’s put the two together to see how and when you will die, given your sex, race, and age.