1 февр. 2024 г. · I'm currently enrolled in DATA 8 and DATA C88C, however after a few weeks I feel like DATA 8 isn't very relevant to C88C and isn't helping me ...

16 дек. 2022 г. · Having either prior stats knowledge or prior coding knowledge (python especially) makes data 8 so much easier. Imo it's the combo of learning ...

10 янв. 2024 г. · The very best advice I could give to you is to start lab/homework early if possible so you have plenty of time to complete it if you get stuck.

4 янв. 2022 г. · I'm wary of an unmanageable workload between those 3 techs plus around 10 hours of research per week.

7 дек. 2022 г. · Students have skipped Data8 for years and done just fine. It makes no sense to stuff Data 8 when it's already a massive class.

19 дек. 2023 г. · Biggest advice is to just go to everything - lecture, discussion, tutoring, post on ed for HW questions - and do the work genuinely and not copy.

17 апр. 2024 г. · You're chilling man, I didn't go to a single lecture and I got an A+ in the class. You're are super fine. Just start studying now.

5 мая 2024 г. · Data 8 teaches you things about statistical inference that EECS 126 doesn't. It's useful for gaining statistical intuition in ways that EECS 126 wouldn't give ...

6 янв. 2022 г. · The course is very content heavy, so it's pretty easy to fall behind. There's about 3 lectures a week, 1 homework assignment, and 1 lab. I'd say ...

16 дек. 2023 г. · I think Data 8 is sufficient preparation for CS61A. If you really want to prep for 61A I suggest just watching the first few lectures during the summer.