2-Week Summer Program
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Designed to introduce data mining concepts and techniques for analyzing large data sets for discovering knowledge and actionable information.
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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.
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Students apply these methods to business and engineering applications using R and other data visualization software.
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Previous Program Locations
Northeastern University
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Oakridge International School
Testimonial from Oakridge International School Student
Individualized programs for educational institutions
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Teacher Analytics Training
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Probability & Statistics Workshop
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Analytics Consulting
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.