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
Many lists of maps promise to change the way you see the world, but this one actually does.
Jobs and pay can vary a lot depending on where you live, based on 2013 data from the Bureau of Labor Statistics. Here’s an interactive to look.
There are rules—usually for specific chart types meant to be read in a specific way—that you shouldn’t break. When they are, everyone loses. This is that small handful.
The ever so popular Walmart growth map gets an update, and yes, it still looks like a wildfire. Sam’s Club follows soon after, although not nearly as vigorously.