Statistics vs. Machine Learning

Not So Standard Deviations

The Data Science Podcast. Roger Peng (the Johns Hopkins Bloomberg School of Public Health) and Hilary Parker (Stitch Fix, PO '08) talk about the latest in data science and data analysis in academia and industry. [Episode 33 (Big Time Bubble Time) includes advice for interviewing for data science jobs.]

Seeing Theory

A visual introduction to probability and statistics.

Classification Trees

Using a data set about homes, they create a machine learning model to distinguish homes in New York from homes in San Francisco.

R vs. Python?

Great comparison of the strengths of each software system.

Do Good with Data

Revolution Analytics Blog

Statistics doesn't have to be so hard: simulate!

Simply Statistics

Blog by Rafa Irizarry, Roger Peng, and Jeff Leek

Statistical Modeling, Causal Inference, and Social Science

Blog by Andrew Gelman

Statistical Thinking

Blog by Frank Harrell

ASA source for undergraduate students

Websites, career resources, competitions, and other communities collated by the American Statistical Association.

This is Statistics

Resources from the American Statistical Association