Johns Hopkins University 3 credits Economics
This course will introduce students to the real-world experience of being a Wall Street data scientist, or "quant". Students will combine programming, statistics, math, finance and economics to learn applied techniques used by the banks, hedge funds, and other players in the world of finance. This course is designed to challenge students with realistic scenarios that quants face, including valuations, portfolio/risk management, time series analysis, natural language processing, and machine learning. This course is programming, math and presentation heavy. Students will be encouraged to use AI tools such as ChatGPT or Claude, as they learn to complete assignments in much the way they would in a real-world setting. Prerequisite(s): AS.180.301 AND (AS.280.345 OR EN.553.211 OR EN.553.111 OR EN.553.310 OR EN.553.311 OR EN.553.420 OR EN.553.112 OR EN.540.382) AND (EN.500.113 OR AS.250.205)
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