To put data science in context, we present phases of the data life cycle, from data generation to data interpretation. These phases transform raw bits into value for the end user. Data science is thus much more than data analysis, e.g., using techniques from machine learning and statistics; extracting this value takes a lot of work, before and after data analysis. Moreover, data privacy and data ethics need to be considered at each phase of the life cycle.
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Computer Science at Columbia University
Undergraduate Computer and Data Science Research Fair Info Session
Friday 4:00 am
DSI Suite, Northwest Corner Building, 14th Floor
Diameter of random polytyopes
Friday 10:00 am
CS conference room (CSB453)
Sophie Huiberts, Columbia University
Building a Start-up? Learn How to Fundraise From Top Venture Capitalists
Wednesday 3:00 pm
Ann Miura Ko, Matt Turck, Spencer Crawley