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.

Book | Data Sources

Discussion Groups

Course Sites: Fall 2018 Undergrad & Fall 2018 MBA

Look left too! One the course sites you will find the syllabus, class outlines and topics, deliverables, and any other course specific information.

Contact information

Instructor: Benjamin Zweig Email: bzweig@stern.nyu.edu Office Hours: | TBA | By Appointment

TF information:

Undergrad - Section 1 (Monday and Wednesday 9:30 am - 10:45 am)
TF: Rahul Menon Email: rrm423@stern.nyu.edu Office Hours: | TBA

Undergrad - Section 2 (Monday and Wednesday 11:00 am - 12:15 pm)
TF: Aditya Vashistha Email: aav331@stern.nyu.edu Office Hours: | TBA

Grad - MBA (Thursday 6:00 pm - 9:00 pm)
TF: Yu-Ping Lin Email: ypl238@nyu.edu

Other materials

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