![]() The initial phase of these projects involves a good deal of exploratory analysis to gain a preliminary understanding of the dataset. In contrast to traditional course work, where one is often handed a prepackaged dataset obtained by a third party and prepared for a specific exercise, research projects often involve not only cleaning and preparing “messy” data, but often also acquiring that data oneself (e.g., through an API). This introduction to data science will cover tools and techniques for acquiring, cleaning, and utilizing real-world data for research purposes. We seek to increase diversity in computer science, and so we especially encourage women, minorities, individuals with disabilities, and students from smaller colleges to apply to the program. Upper-level undergraduate students attending college in the New York City area who are interested in attending computer science graduate school, and who would benefit from an intensive introduction to data science. We typically have capacity for eight students. Mondays to Fridays: 10:00am – 5:00pm Number of Participants ![]() ![]() ![]() Important update for 20: Due to COVID-19, we will be holding this year’s summer school virtually and it will be shortened to 4 weeks (down from 8 weeks). ![]()
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