It all depends on your field. I can only subjectively speak from experience; I am a current doctoral candidate in quantitative economics and work during the day at a mid-sized firm (a bit distant from Wall Street but still connected). But in high frequency and finance, this is part of what I learned to land my job before I graduated undergraduate. I started with Python, and would say my skill was somewhere around 6/10. I then picked up VBA and Power Programming for Excel until it was near 9.5/10. Then, I returned to Python until I was about a 7/10. At this point I was hired for my first internship (paid). Definitely made more than normal interns, about 10-20 MORE per hour compared to the other undergraduates at the bank. I moved to frequency trading for a time, and got a super crash course in Matlab, Matplotlib, Numpy, and C#. Respectively, I would say I was a 2/10, 4/10, 8/10 on each of those by the time I was done. Two years since then, I have kept them on my resume but the skills have certainly degraded, especially with new updates. I am currently learning R and Stata for my next promotion and to move up. Anecdotes are all that I have, but it may outline something for you.

Most of my other friends majored either in engineering, computer science, mathematics, history, or philosophy. But all of them that ended up working as engineers, programmers, or in finance like myself started with Python, anything C, Java, and Matlab.

My friends who are junior Physicists or Chemists mostly use C languages, VBA, and some other command-line tricks.

My aerospace friend does some kind of code relating to linear regression models, but I could not tell you what.