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2-Week Summer Program
Designed to introduce data mining concepts and techniques for analyzing large data sets for discovering knowledge and actionable information.
The topics covered in this course include data exploration, dimension reduction, data visualization, predictive performance evaluation, multiple linear regression, k-nearest neighbors, naïve Bayes classifier, logistic regression, and association rules.
Students apply these methods to business and engineering applications using R and other data visualization software.
Previous Program Locations
Oakridge International School
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What Students Are Saying
Analytics and statistics as a field isn't given enough importance in schools today. This program was important for me to be successful in my future career. I enjoyed this experience and would recommend this to other students.