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

Some 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
• Javascript : javascript
• Java : java

In addition to learning programming languages, learning how to use tools - IDEs , git, and software engineering practices.

• Missing Semester of CS Education - covers how to use Git, text editors for programming - https://missing.csail.mit.edu/

• MIT 6.031: Software Construction - covers software engineering principles (in Java) but still very relevant - http://web.mit.edu/6.031/www/fa19/