New York University 3 credits Economics
Data Bootcamp is about nuts and bolts data analysis. You will learn about economic, financial, and business data, and enough about computer programming to make sense of it. Applications include some or all of: leading economic indicators; country indicators; bond and equity returns; stock options; income by zip code; “long tail” sales data; innovation diffusion curves; attendance data for plays and sports teams; and many others. We will use Python, a popular high-level computer language that’s widely used in finance, consulting, and other parts of the business world. “High-level” means that it’s less painful than most (the hard work is done by the language and its collection of tools), but it’s a serious language with extensive capabilities. “Analysis” means primarily graphical descriptions that summarize the properties of data in ways that are helpful to managers.
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