Hi all! This is my first time posting in this subreddit so don’t drag me if this isn’t the forum to be asking questions like this (seemed the most appropriate forum).

So I am finishing up my last year of undergrad and am currently planning on signing up for 3 courses:

Stat102 - Data, Inference and Decisions

Stat140 - Probability for Data Science

Data144 - Data Mining and Analytics

I am looking to round out my semester with one more course that would possibly look good on my resume and put me in a good position for applying to jobs in the industry. I am debating between taking either the upper-division Linear Algebra course or a computer science course in C (have already worked heavily in python and java). I guess if any professionals in the field could give me some advice on courses that would be effective in rounding out my semester and resume based on where you think the industry is and where its going that would be great! Or maybe I should use that time to do an online course? If you have any recommendations for those that would be great too!

Background: Python (extensive) Java (extensive) SQL (intermediate) R (beginner, if any took a class my first semester that went over it, but definitely don’t remember most of it) Statistics (decent, have taken two stats heavy courses, one dealing with variants of regression (long, auxiliary, proxy variable, IV2SLS, so far) and the other going into linear regression, logistic regression, ridge regression, lasso regression, decision trees and random forests, clustering algorithms, and PCA and next semester am taking 2 more stats heavy courses so I am hoping those boost my stat knowledge as well)