Applications of advanced data science tools for data retrieval, statistical analysis and machine learning, optimization, and visualization. Multiple case studies will illustrate the practical use of these tools.
4
UnitsOptional
Grading1, 2
PasstimeNone
Level LimitLetters and science
CollegeVery bad and boring lectures. Do not take this professor if you actually want to learn anything.
the way the class is weighted it is easy to get a good grade without doing that much however class was so boring i did not learn anything in class and I was confused all quarter long. I came away from this class feeling like I learned absolutely nothing.
This man eats boring pills for breakfast, lunch, and dinner.
I had Oh for 134 - he's been a good prof. Very accessible through Nectir if you need help on HW. I will say his HWs are VERY long and were extremely difficult as I'm pretty new to Python, but you get 2 weeks to do them and can work with others. Exams are easy and the final is a simple project, meaning I've done much more learning than cramming.
He's a great professor. I didn't have him for PSTAT 131, but I will say that 131 is notoriously difficult since it's streamlined course by the department. Oh has been exceptional in 134 in terms of explaining material and concepts. Don't expect and easy A but expect a fair course. Keep up with the material and you'll be fine.
Professor Oh is really available whenever you have any questions. His lectures are more about concepts, and the quizzes are based on that. He doesn't talk about coding in lectures but the homework is in python. Therefore, you may need to learn by yourself how to deal with it. However, he will give hints and documentations in the prompt.