Computing for data analysis

Posted to Statistics  |  Tags: ,  |  Nathan Yau

If you want to learn visualization, you should learn data. To learn data, you should learn statistics. Where to begin? The free analysis courses offered on Coursera, by Johns Hopkins professors is probably a good place to start. Currently available: Computing for Data Analysis with biostatistics professor Roger D. Peng and Data Analysis with Jeff Leek, also a biostatistics professor.

There’s also a handful of data-related courses from other university professors that might be worth a look.

1 Comment

Favorites

One Dataset, Visualized 25 Ways

“Let the data speak” they say. But what happens when the data rambles on and on?

How to Spot Visualization Lies

Many charts don’t tell the truth. This is a simple guide to spotting them.

Real Chart Rules to Follow

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.

Reviving the Statistical Atlas of the United States with New Data

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.