Online Education in Data Mining and Knowledge Discovery

• Data Mining Course (undergraduate level), developed by G. Piatetsky-Shapiro and G. Parker, a set of teaching modules for a complete one-semester introductory course on Data Mining, suitable for advanced undergraduates or first-year graduate students. Freely available thanks to a grant by W. M. Keck Foundation and Howard Hughes Medical Institute.
• Web Mining mini-course, focusing on web usage mining, developed by G. Piatetsky-Shapiro, freely available thanks to a grant by W. M. Keck Foundation and Howard Hughes Medical Institute.
• CMU Open Learning Initiative, including on-line courses in statistics, math & logic.
• MIT OpenCourseWare : Data Mining, features XLMiner tools, designed by the instructor, Nitin Patel.
  Also many other relevant courses in MIT OpenCourseWare
• Oklahoma State University Graduate Certificate in Business Data Mining for training professionals in the field of business data mining using SAS and SAS Enterprise Miner. Courses are offered online and working professionals can earn the certificate in 1 year (taking 2 courses/semester).
• Olivia Parr Predictive Modeling Home Study Course, step-by-step guide to effective predictive modeling for marketing, risk and customer relationship management using a lifetime value case study.
• Machine Learning and Data Mining slides by Pier-Luca Lanzi for the course at the Politecnico di Milano
• Salford On-line Demo of Data Mining Tools (walkabout).
• Stanford Center for Professional Education, offer two new certificate programs for managers and professionals: Data Mining and Applications and Quantitative Methods in Finance and Risk Management.
• Statistics.com, offering on-line short courses in statistics and data mining.
• Video lectures from conferences, workshops and ther scientific lectures in the areas of machine learning, data & text mining, and semantic web.
• University of Louisville Certificate in Data Mining, jointly offered by Computer Science and Math Depts for training professionals in the interdisciplinary field of data mining. Louisville, KY, USA.