This class was tough.
This is a useful class, particularly if you are a Bioinformatics major or are looking for work involving data science in the Biology field. However, Coleman's lectures were somewhat vague and put too much emphasis on explaining the theory. Most students better understood the material when he used real life example problems, but he didn't do this often enough.
This course helped me to better understand statistics I had previously seen but not understood in lab reports. In addition, we were taught some degree of Python in order to better understand the probability theorems, which increased my understanding of programming.
Hours per week:
Advice for students:
Don't be afraid to ask the professor or your TA questions if you are having trouble understanding something. This class builds off concepts established in previous lectures, so you can easily fall behind if you don't speak up.