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Data Science Mentorships

1-on-1 learning and original research projects customized around students' interests

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A quickly expanding field, data scientists work on a wide array of topics, limited only by the data that can be collected in a given domain. A mentorship in data science allows students to take large banks of existing data that is not necessarily useful on its own, and combine it with data points from other sources to generate novel insights. 

Students can expect to improve domain knowledge (information about a specific topic), programming skills, and statistics. Many students will apply machine learning algorithms to produce artificial intelligence which in turn yields insights that translate into improved value or profit.

Data Science


Policy and Advocacy Reports
Case Study
Statistical analysis and policy recommendations to combat gender discrimination for refugees entering the US
Academic Papers
Case Study
Data-driven analysis of Yelp reviews, revealing how star ratings predict the continued operations of restaurants
Case Study
Calculated the image lensed by a black hole through Python, given a source image and known black hole parameters
Case Studies
Case Study
Application of machine learning algorithm to predict song genres using raw data from Spotify
Case Study
Measuring the efficacy of a new nonprofit program establishing solar power in Puerto Rico after Hurricane Maria

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