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January 17, 2016 COSC 4355 Knowledge Sources Dr. Eick’s Graduate Data Mining Course COSC 6355: http://www2.cs.uh.edu/~ceick/DM/DM.html Stanford University Statistics 202 Course—Statistical Aspects of Data Mining: https://sites.google.com/site/stats202/ (uses the same textbook and R) R Programming Wiki Book: http://en.wikibooks.org/wiki/R_Programming John Hopkins Data Analysis Course: https://www.coursera.org/learn/exploratory-data-analysis Data Camp: Introduction to Revolution R Enterprise for Big Data Analytics: https://www.datacamp.com/courses/introduction-to-revolution-r-enterprise-for-big-data-analytics Recommended Textbook: P.-N. Tang, M. Steinback, and V. Kumar: Introduction to Data Mining, Addison Wesley, 2006 ( Link to Book HomePage ) ?!?!? Differences COSC 4355 and 6355 Slower speedwill cover less, but spend more time explaining concepts and algorithms A little more hands-on More focus on data analysis, making sense of data A little focus on using R for developing data mining software and using existing software for data analysis and data mining More in-depth discussions of data mining Less breadth, but we still try to cover the most important data mining tasks and algorithms Spends a little more time on explaining basic statistics concepts, data analyticts terminology, and on interpreting data visualization tool outputs Course will follow the Tang textbook a little more closely Will to shed some light on the current Big Data/Data Analysis hype Motivation—why is taking this course important? https://www.youtube.com/watch?v=t02BBmuiOOU http://www.bing.com/videos/search?q=why-data-analytics-is-the-future-ofeverything&view=detail&mid=36F8C0C2526918C7392236F8C0C2526918C73922&FORM=VIRE2 Big Data and the Future of Data Analytics 1 http://databoard.ft.com/ http://data-informed.com/future-big-data-prescriptive-analytics-changes-game/ http://bigthink.com/experts-corner/the-future-of-prediction-predictive-analytics-in-2020 http://www.healthcareitnews.com/news/6-keys-future-analytics-and-big-datahealthcare?single-page=true http://www.mckinsey.com/client_service/marketing_and_sales/latest_thinking/big_data_ analytics_and_the_future_of_marketing_and_sales