This Is What Google Uses For Data Science

Welcome back! Data Science is an amazing field with tons of growth and potential, so, let’s take a look at some of the tools/languages that a massive company like Google uses for their data science projects!

The Languages

First off, let’s take a look at the programming languages that Google uses:

Python

This is a no brainer, tons of companies use Python as it is one of the most popular programming languages out there. This language has a ton of packages available for it for data science as well, this is probably the most important language Google uses for data science.

SQL

Another very important language that Google uses is SQL, this is definitely the building blocks of alot of data science related projects. SQL allows us to essentially build / talk to databases, so if you’re planning on applying to Google, you will need to know this language.

R

Next up we have R, another very popular statistical language used by Google. R’s main ability is data processing / data manipulation, there are also tons of packages available for this language as well!

MATLAB

Finally we have MATLAB, a fairly popular programming language used at Google as well. Here’s the thing, I think MATLAB is super important, but the barrier to entry is fairly high due to the license that’s required to code with this, I did notice that many of the data science positions didn’t really require this language.

Machine Learning Packages

Next up we have the machine learning packages, there were really only 3 that I saw as requirements for data science positions at Google.

TensorFlow

The first package is a no brainer, TensorFlow was actually built out by Google themselves, so it only makes sense that they require knowledge with this package.

PyTorch

Next up we have PyTorch, a machine learning package actually developed out by FaceBook. Out of al three of these packages, I saw PyTorch mentioned the least, but it was mentioned enough to get on this list.