ucla stats 101c equals to what course in ucsd

STATS 101C - Introduction to Statistical Models and Data Mining Description Lecture, three hours; discussion, one hour. Recommended: course 101B.

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Introduction to Regression and Data Mining

Description: Lecture, three hours; discussion, one hour. Enforced requisite: course 101B. Designed for juniors/seniors. Applied regression analysis, with emphasis on general linear model (e.g., multiple regression) and generalized linear model (e.g., logistic regression).

Robert Gould

Most Helpful Review Spring 2016 - Gould is really nice and emphasizes understanding the intuition rather than the mathematical detail. The class is basically a walkthrough of many of the most popular machine learning algorithms. The downside is that you don't really learn how the algorithms are derived from.

Juana Sanchez

First off LOL the picture posted on here is funny, I wouldn't take her if i could, almost every other Stats professor at ucla is better, not to say she's bad, the rest of the STATS prof are really good if you do take her, she might refer to a "book" a lot but dont bother reading it, anything she will test you on is based off her lecture notes memorize all her examples in class or on the lecture notes because her tests have problems from lecture and homework...

Alan Vazquez Alcocer

Fall 2020 - I like the way Vazquez conducted the course, and I would recommend taking him if he is teaching the class.

Dave Zes

Fall 2019 - Zes is pretty nice, but his lectures aren't very in depth; they basically just skim over the corresponding textbook chapters without explaining much (they're good as big picture overviews of the material, so I'd recommend reading the textbook chapters before coming to lecture).