Best Free R and Data Mining courses Online

This article is a collection of such free Data Mining and R programming courses. I compiled this list to build your skills and advance your career. Learn data mining and other in-demand subjects with courses from top universities and institutions around the world

• 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.
• DataCamp courses and tutorials on R and Data Science

• edX.org: free online courses
• UIUC Data Mining Specialization
  It includes 5 courses:
  
  • Pattern Discovery in Data Mining
  • Text Retrieval and Search Engines
  • UIUC online course: Cluster Analysis in Data Mining
  • Text Mining and Analytics
  • Data Visualization

• Social Network Analysi
• 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
• Stanford online course: Mining Massive Datasets
  Instructors: Jure Leskovec, Anand Rajaraman and Jeff Ullman, Stanford University
  
• Statistics and R for the Life Sciences
  An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences