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
Collegeis obsessed with frat guys only gives them good grades. I wonder where she was last night.
I was aware of previous ratings but decided to take the class anyways and the bad ratings now make sense. Generally, everything was okayish (confusing project instructions) until finals. She gave a final during Week 9 and assigned a bigger project on the same week (syllabus said it was supposed to be released earlier), making finals week stressful.
For the most part, the content is relatively easy and the grading is fair. You will have 3 quizzes and 3 projects. However, the ending of the course is extremely rushed and moderately difficult so be aware.
Overall, I went into this class with little coding experience but the teacher was able to explain the ideas really well. There are three quizzes and three projects in the class. The last project and the last quiz are definitely harder than the rest, but if you study hard and do the labs/homework you should be able to get a strong A.
Everything is good or on average besides the workload.
....tough grader