Hello! I am Vicky Rampin, the Librarian for Research Data Management and Reproducibility. I am also the liaison to computer science and data science programs at NYU! I am here to help you navigate the resources for both at NYU and beyond. You can set up an appointment with me or always email me at: vs77@nyu.edu.
If you need help with a specific quantitative, GIS, or qualitative software, you should reach out to Data Services.
Obviously, you'll be programming as a computer scientist. This page lists some resources for learning a few of the programming languages that may be covered in your computer science work. I would recommend also learning how to version control your code as a core skill to maintain the integrity of your code.
One key skill to cultivate is to learn how to learn new programming languages. Do you learn best through taking on a project and learning as you go from a tutorial? Or do you prefer to read about the languages, then try through an open course? Or, do you follow YouTube videos? However you learn technology, that is a skill you'll definitely want to refine as you move through your computer science career. The technology will always change on you, and you need to know how to change with it.
You should take care to follow the best practices in writing scripts, do-files, and documentation for the many steps of your workflows, be they testing some network functionalities or doing data analysis. This is a part of good internal research data management for individuals and collaborators, but it is also becoming increasingly vital (even mandatory) to meet the demand for reproducibility of research.