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Introductory Statistics with Randomization and Simulation.An Introduction to Statistical Learning with Applications in R.

Probability and Statistics Cookbook.

Think Stats: Exploratory Data Analysis in Python. An introduction to the practical tools of exploratory data analysis

Machine Learning, Neural and Statistical Classification.

Statistical foundations of machine learning. Statistical foundations of machine learning intended as the discipline which deals with the automatic design of models from data

STATISTICS Methods and Applications. A nearly encyclopedic comprehensive presentationof statistical methods and analytic approaches used in science, industry, business, and data mining written from the perspective of the real-life practitioner

simpleR - Using R for Introductory Statistics. How to use R while learning introductory statistics

Analyzing Linguistic Data: A practical introduction to statistics. Statistical analysis of language, designed for linguists with a non-mathematical background

OpenIntro Statistics. Foundation of statistical thinking and methods

A Practitioner's Guide to Generalized Linear Models. Written for the practising actuary who would like to understand generalized linear models (GLMs) and use them to analyze insurance data

Introduction to Statistical Thought. A focus on ideas that statisticians care about as opposed to technical details of how to put those ideas into practice

The Elements of Statistical Learning (Data Mining, Inference and Prediction). Bringing together many new ideas in learning and explaining them in a statistical framework

Think Stats: Probability and Statistics for Beginners. Emphasizes the use of statistics and a computational approach to explore large datasets

Statistics with R. Notes author took while discovering and using the statistical environment R

Collaborative Statistics. An introductory statistics course for students majoring in fields other than engineering or math. The only prerequisite is intermediate algebra

Concepts and Applications of Inferential Statistics. A full-length and occasionally interactive statistics textbook.

An Introduction to Statistical Learning (with applications in R). For those wishing to use statistical learning tools to analyze their data

Statistics by Wikibooks.org. Modern statistics and some practical applications of statistics

Think Bayes: Bayesian Statistics Made Simple. Bayesian statistics with Python and discrete approximations

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