Introduction to data science methods and Python programming language for students with little to no experience in the subjects. Topics include foundational programming concepts, problem-solving strategies and code design, and data science concepts as table operations, exploratory data analysis, basic probability.
4
UnitsLetter
Grading1, 2, 3
PasstimeNone
Level LimitEngineering
CollegeHer lectures mainly focused on helping students understand the concept rather than learn how to actually do the coding because the homework covers that. She's a sweet professor and wants to help her students. Tests are by hand but the labs might be a little challenging.
9 labs that took forever and never what she taught. 1 midterm and final that were alright altho final was way easier. Can be a bit confusing when lecturing. She seems like a nice person but i just had a hard time learning from her.
Very fair class. There is a good amount of homework and labs, but are really doable if you start early and go to office hours. Lectures are very helpful, she explains everything very clearly and thoroughly. Easy if you're willing to put in the work
3 midterms & 3 projects. Content is easy to understand, very basic Python. Practice through homework and lab assignments. Like one tricky question on each quiz, but overall easy. Offers extra credit at the end of each quiz. First two projects instructions and criteria straightforward. Last one was confusing. Understanding & often gave extensions.
I knew javascript basics coming into the class, so it wasn't difficult for me. She explains everything well though and cares about answering questions. Tests have some random curveballs and projects are structured wierd. The final project used a stupid broken autograder.
Truly terrible professor, you will hate computer science after this. Her entire course is teaching yourself from an interactive online work book that you have to pay $80 for. Re-took this class with a different professor and got an A+. AVOID PROF K.