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DaveBackus / Data_Bootcamp

Materials for a course at NYU Stern using Python to study economic and financial data.
MIT License
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Suggestion: Add lecture on SQL #1

Closed treilly closed 9 years ago

treilly commented 10 years ago

Hi Dave,

Your posts today led me here. Reading the syllabus you've posted here, I'd urge you to add a lecture on SQL as it's by far the most common source of data in a corporate environment.

In my experience, work breaks down as: 1) Get data 2) Transform data 3) Explore data 4) Model data 5) Generate graphs/figures 6) Present analysis

For me, SQL's a critical piece of 1, 2, and sometimes 3.

Best,

-Tim

DaveBackus commented 10 years ago

Great idea, thanks a lot.

On Fri, Sep 12, 2014 at 8:54 AM, treilly notifications@github.com wrote:

Hi Dave,

Your posts today led me here. Reading the syllabus you've posted here, I'd urge you to add a lecture on SQL as it's by far the most common source of data in a corporate environment.

In my experience, work breaks down as: 1) Get data 2) Transform data 3) Explore data 4) Model data 5) Generate graphs/figures 6) Present analysis

For me, SQL's a critical piece of 1, 2, and sometimes 3.

Best,

-Tim

— Reply to this email directly or view it on GitHub https://github.com/DaveBackus/Data_Bootcamp/issues/1.

DaveBackus commented 9 years ago

We'll build this into the course. In the meantime, we're running a short course to get students ready for summer internships. https://github.com/DaveBackus/Data_Bootcamp#sql-bootcamp