Learn data mining for free with Harvard's Data Science Course, CS109. This course was developed by Joe Blitzstein and Hanspeter Pfister in Fall of 2013 and will continue in Fall of 2014.
While this is a "data science" course, I still consider this "data mining" because of the valuable practice in extracting and manipulating data, in addition to creating some common data mining algorithms like recommendation engines or sentiment analysis.
Python intro, Numpy intro, Matplotlib intro (Homework 0) (solutions)
Web scraping, data aggregation, plotting, forecasting, model evaluation (Homework 1) (solutions)
Data manipulation, predictions, evaluations (Homework 2) (solutions)
Sentiment analysis, predictive modeling, model calibration (Homework 3) (
ipython.org
solutions)
Recommendation engine, mapreduce (Homework 4) (solutions)
Network analysis and visualization (Homework 5) (solutions)
