The main problem with Prof Kate is that it's clear she's more used to teaching coding than data science. Most of the quizzes, labs, and assignments treat data as a means to the end of learning code. Then, when many people do poorly on the midterm project, she acts surprised. Unclear grading, somewhat disorganized and unresponsive. Otherwise okay.

Attendance in both the class and section accounts for an important part of your grade. Most projects are in pairs, so be careful who you work with. Sections were heavy toward the end of the class. Lectures are put me to sleep.

Like objectively she is a good teacher, she explains things well and is always open to questions. I took CS in high-school so basically easy A. She assigns a lot of work - homework, labs and practice, but if you make time it's not bad. The final project was given basically finals week with like 40 pages of instructions and requirements :(

She is a sweet professor and is very concerned about students' understanding of coding. Although the projects are really hard and time-consuming, three quizzes are relatively easy, especially with bonus questions.

She is a great professor who explains the material very well. She shares the slides after each lecture. The course is structured with three quizzes and three projects, so it is manageable if you study regularly. And attendance is mandatory. Also her office hours are very useful, and she is really caring and takes time to answer the all questions.

is obsessed with frat guys only gives them good grades. I wonder where she was last night.