Data + Python @ NYU Stern

Data Bootcamp

A course at NYU Stern exploring economic and financial data with the Python programming language. The course was developed by Stern faculty and students with the assistance and support of executives at Amazon. The immediate goal is to train students to succeed as summer interns and full-time employees of technology companies, but the same skills are valued in finance, marketing, consulting, media, and other areas. We think of it as literacy for the modern age.

More concretely, the course is designed to (i) introduce students to sources of economic, financial, and business data and (ii) give programming newbies a sense of how modern software – in this case Python – makes life easier and more interesting. We’ll let data speak for itself. As for coding: It’s a skill that opens doors to new career opportunities. You can do lots of things in Excel, but if you value your time – and you should – you’ll find you can do more, and do it more quickly, with a modern programming language. We like to say we do it because we’re lazy, laziness being a synonym here for efficiency.

If that doesn’t convince you, there’s more on our FAQ.

Quick links: Syllabus | Book | Project Guide | Discussion Groups (UG | MBA)

Class Outlines can be found under Topic outlines & links (look left).
Code Practice can be found in the same place – and under Due dates (ditto).

Spring 2016 schedule

Undergrad: ECON-UB.0232, Tuesday and Thursday, 2-3:15, KMC 4-80, January 26 to May 5
MBA: ECON-GB.2313, Wednesday nights, 6-9pm, KMC 4-90, February 10 to May 4

Future: We expect to offer sections in Fall 2016 and Spring 2017.

Contact information

Dave Backus: KMC 7-68,, directions

UG section
Spencer Lyon, co-teacher,
Brian LeBlanc, teaching fellow,

MBA section
Chase Coleman, co-teacher,
Itamar Snir, teaching fellow,

Other materials

In addition to the quick links at the top, keep in mind:

Before the first class