Not exactly a textbook, but good to read nonetheless is, "Statistics Done Wrong"[1]. It is a short read but is filled with all the most common ways in which statistical analysis is abused with concrete examples.

[1] Statistics Done Wrong: The Woefully Complete Guide https://www.amazon.com/dp/1593276206/ref=cm_sw_r_cp_apa_i_u....

What software / lang are you currently using to analyze data?

It used excel and Python. I’ve also personally used R outside of the class.

That's good you got exposure to Python (and, I assume, numpy/scipy/pandas etc.), and you're already familiar with R. Are you majoring in data science, and just looking for something extra?

If you're interested in machine learning, Andrew Ng Coursera course is almost a right of passage at this point - it's very accessible: https://www.coursera.org/learn/machine-learning

Kutner is the bible on regression models (tho, not a super fun read): https://www.amazon.com/dp/0073014664

This was one of my favorites as an undergrad: https://www.amazon.com/gp/product/0805833889

I’ll check these out, thanks for the recommendations. I’m not majoring in Data science, but I do find it really interesting and want to learn more.

R for Data Science is great: https://r4ds.had.co.nz/