Kursteilnehmer-Bewertung und -Feedback für Advanced Linear Models for Data Science 1: Least Squares von Johns Hopkins University

A good course that has some insights (especially for regression) but that feels towards the end very cut together from other existing materials. Thus, there are some jumps in the topics and some repetitions of subjects. It feels like some aspects such as the partitioning of variability (week 6) could have been explained more easily.

I would appreciate more practical exercises with R. But Prof. Caffo was very good at explaining concepts and give the nuisances behind a model, I do really appreciate his style of putting things together. Highly recommend this course and the professor.

I enjoyed the math and it helped me to review my linear algebra and got new intuitions on linear regression. But there are a few typos that need to be fixed. It would be better to open a forum and let student discuss with each other.

This is an excellent course that enabled me to understand how multiple regression in linear models works behind the hood. The practical examples shown by the professor were very helpful. Thank you

Great, detailed walk-through of least squares. Linear Algebra is a must for this course. To follow the last part requires knowledge of matrix (eigen?)decomposition, which derailed me somewhat.

El curso es bueno, sin embargo me gustaría que pusieran notas sobre las ecuaciones o un pequeño resumen, ya que yo al menos no tengo dinero para comprar los materiales.

Good course. Quite hard. Linear algebra should be your second language as it is assumed to be mastered. Exams should include some personal work.

Hard Topic, You must take all the basics in multivariate statistical analysis first.

The course is interesting; but is more theoretical in nature than applied.

Not an advanced level course.

Nice Course.

Great Course

dropped