Statistics

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MOOCS

Mathematical Biostatistics Boot Camp 1

Coursera, Johns Hopkins
https://www.coursera.org/course/biostats
Thorough, but quite mathsy and formula-heavy. No programming required.

Statistics 2.*x (1 to 3)

EdX, Berkeley
https://www.edx.org/course/berkeley/stat2-1x/introduction-statistics/1138
Basic intro to statistics and probability. Extremely well-taught

Data Science Specialization

Coursera, Johns Hopkins
https://www.coursera.org/specialization/jhudatascience/1?utm_medium=listingPage
A series of ten courses including data processing, R programming, and statistics


Online Resources

Handbook of Biological Statistics

John H. McDonald
http://www.biostathandbook.com/
A comprehensive and well-written online textbook on biological data analysis

How to Share Data with a Statistician

http://simplystatistics.org/2013/11/14/the-leek-group-guide-to-sharing-data-with-a-statistician-to-speed-collaboration/
This excellent guide by Jeffrey Leek from Johns Hopkins Bloomberg School of Public Health explains how best to prepare, process and annotate raw data before sending it to a statistician for analysis. Also helpful if you do your own data analysis!

What Statistical Test should I use?

http://www.ats.ucla.edu/stat/mult_pkg/whatstat/default.htm
Table of setatistical tests
Institute for Digital Research and Education, UCLA

Power and Sample Size Programs

http://www.epibiostat.ucsf.edu/biostat/sampsize.html
List of resources for power and sample size calculations
UCSF Division of Biostatistics

Statistical Concepts for Biologists

Mingshu Huang et al., Harvard University
An overview of selected statistical concepts, and examples of how they are used in biology
Box Plots
Confidence Intervals
Sampling Distribution

A visual introduction to Machine Learning

r2d3
A beautiful introduction to the ideas behind machine learning
http://www.r2d3.us/visual-intro-to-machine-learning-part-1/

Warning Signs in Experimental Design and Interpretation

Peter Norvig, google
http://norvig.com/experiment-design.html