Ever wonder why Data Scientists have been labeled the “sexiest job of the 21st Century”? Is Big Data really a revolution or simply hype? Why is it so hard to move from correlation to causation? Drawing on real examples from Public Health, this course will answer these and other pressing questions. Students will be introduced to a formal research framework, including specifying a well-defined scientific question, formally representing background knowledge and uncertainties, and finally answering their question using modern methods in machine learning and causal inference.
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