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.
• 8 Talks on Data Mining by leading experts, produced by Henry Stewart (fee for access)
• CMU Open Learning Initiative, including on-line courses in statistics, math & logic.
• Data Mining Tools Tutorials, covering Data Mining, Probability, Weka, R, and numerous commercial data mining tools.
• Machine Learning and Data Mining slides by Pier-Luca Lanzi for the course at the Politecnico di Milano
• MIT OpenCourseWare : Data Mining, features XLMiner tools, designed by the instructor, Nitin Patel.
  Also many other relevant courses in MIT OpenCourseWare
• Olivia Group Statistics & Modeling Courses, available online or for custom on-site training.
• 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).
• Stanford Center for Professional Education, offers certificate programs for managers and professionals in Data Mining and Applications and Quantitative Methods in Finance and Risk Management.
• Statistics.com, offering on-line short courses in statistics and data mining.
• UC San Diego Data Mining Courses, part of Data Analysis study area.
• 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.
• Video lectures from conferences, workshops and ther scientific lectures in the areas of machine learning, data and text mining, and semantic web.
• 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.
• Weka tutorials (Video), covering Classification, Prediction, Clustering, and Text Mining.

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