These are the data science programming languages that Amazon uses

Welcome back! I’ve talked about some of the most popular programming languages that massive companies use, now let’s talk about the data science programming languages that Amazon uses. The process of me finding these languages was pretty easy, I went over to their career page and noted the most popular languages that were required in their data science positions:

The most popular languages I noticed were: Python, R, SQL, Scala, C / C++ and MATLAB, they also required experience with: AWS, PowerBI, Tableau, GPU programming and machine learning packages (Tensorflow, Pytorch, etc.). If that’s all you wanted to know then that’s it, otherwise let’s go into more detail about these languages!

Python

Starting off, Python is by far one of the most popular programming languages right now, it’s used for tons of different things, one of these things is data science. Some data science positions were hybrid data science / software engineering positions, Python is a great balance of both of those cases. Most of these positions required experience, under their Nice to have column, with Pandas and Numpy, these are very popular data processing packages with Python.

R

Next up we have R, one of my favorite programming languages. This is a statistical language, I personally feel like R is my go to language for Data Science, it does suffer from one specific area, machine learning. Although R has a few machine learning packages (Tensorflow), most of the documentation / tutorials out there rely on Python, so this means that a majority of companies will end up using Python instead of R, should this sway you away from learning R? Absolutely not, many companies still rely on R programmers to process data.