Free Online Courses - RDataMining.com: R and Data Mining

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Free Online Courses

Computing for Data Analysis (with R)
YouTube playlists for the videos of the course: week 1; week 2; week 3 and week 4.
Data Analysis (with R)
YouTube playlists for the videos of the course: http://bit.ly/16PPtuI

Machine Learning, by Andrew Ng, Stanford University
Learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself.

Free Stanford online course on Statistical Learning (with R)
Covers linear and polynomial regression, logistic regression and linear discriminant analysis; cross-validation and the bootstrap, model selection and regularization methods (ridge and lasso); nonlinear models, splines and generalized additive models; tree-based methods, random forests and boosting; support-vector machines.

Social Network Analysis
Introduction to Data Science
The lectures in week 3 give an excellent introduction to MapReduce and Hadoop, and demonstrate with examples how to use MapReduce to do various tasks.
Statistical Aspects of Data Mining with R
Five-hour lecture videos on YouTube

Natural Language Processing
A course at Stanford University, containing 18 videos, with each of over 1 hour length

Google Developers R Programming Video Lectures

Open Access Sixteen Hour Online Course on Data Mining with Rattle

A Sequence of 9 Courses on Data Science on Coursera
The courses, lectured by(Associate/Assistant) Professors of Johns Hopkins University, are designed for students to learn to become Data Scientists and apply their skills in a capstone project.
Course 1: The Data Scientist’s Toolbox
Course 2: R Programming
Course 3: Getting and Cleaning Data
Course 4: Exploratory Data Analysis
Course 5: Reproducible Research
Course 6: Statistical Inference
Course 7: Regression Models
Course 8: Practical Machine Learning
Course 9: Developing Data Products