Introduction

Hey, welcome to the Data Science section!

I think this part is particularly fun, as I am in the process of learning data science myself — yes, I can offer even less advice. The upside is that I started as an absolute beginner (perhaps a little bit late), hence all of the material you find has already been vetted and I can assure you it is noob-friendly.

Is this the best place to become an expert? Absolutely not, there are so many better places to master data science; as this is targeted at undergrad economics students mostly, it is meant to provide a series of introductory courses that will hopefully enable you to understand better how these programming languages work and — if you’re interested — to land a gig as a Research Assistant

Python

Python

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Cheatsheet:

https://cheatsheets.quantecon.org/

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Python Programming for Economics and Finance

A First Course in Quantitative Economics with Python

Intermediate Quantitative Economics with Python

Advanced Quantitative Economics with Python

R

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Cheatsheet:

https://github.com/rstudio/cheatsheets

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STATA

SQL

Additional Resources

I am now going to delve into a slightly controversial topic, namely “what platform/compiler/IDE should I use?”.

Lacking a definitive answer, the best thing I can provide is my personal experience:

General


Python


LaTeX