The following section is a collection of resources about learning specific programming languages or programming-related topics.

the frequently mentioned ""relevant"" programming languages to learn for data science (due to the number of in-built libraries and supporting ecosystem they have, and their learning curve) are:

• Python: python
• R: R
• Julia: julia

However, in addition languages for software engineering (or data engineering) are equally if not more important - how to build software systems to store, retrieve, in an efficient manner. This includes

• SQL: SQL
• Haskell : Haskell

And finally, learning some web development (frontend and backend) can be useful for presenting your results / models, or are just useful skills to have.

• Web Development : Web Development