Taught very quickly and assumes a high degree of math fluency. Only take this if you are either very fluent in math already or have a significant amount of time to devote to understanding the material.

Very confusing instructor and unstructured course, prior knowledge of covered topics is definetely required to fo through the course. Additional reading helps to solidify the knowledge.

Very poor instruction and organization of topics, very poor explanation of core concepts. I learned more from reading other sources while taking the class than I did from the lectures.

The topics are very interesting and there is no dude that the teacher knows wath he is teaching, even though I think it can be better with more grapics splanations and less formulas.

A lot of the course were not explained in a way that made it easy to understand for a neophyte. I had to go re-watch most of the lessons on khan academy to understand the principles.

I feel that I need a more detailed approach regarding the statistical information. The course covers a broad range of topics but the approach seems a littile advanced.

professors caffo and leek go way too fast and are completely monotonous. the examples they use assume we know basic stats when likely most of us are a bit rusty.

The class needs to be more accessible especially for non statisticians, I learned more from khan academy which got me through this class than the class itself

This is the worst course so far. This should be a 2 month course or the course descritpion should be changed to make sure you have some statistics knowledge.

Course needs more hands on example on all statistical inference tools - trying to disconnect from the daily routine and dive right into stats was difficult.

There are better courses on the subject on coursera and other platforms. It worth it pursuing it if you are interested in joining the capstone project.

Seemed like a "ghost" course, issues reported with the swirl package, duplicate questions in the final assessment, where is the instructor ?

The lessons felt hurried and the explanation provided was complicated. All in all a bad method of teaching & a learning experience.

Teaching material is fine. The Professor's explanation is monotonic and he uses textual definitions rather than simple explanations

Even though Brian presents the theory in a clean mathematical way, it is still difficult to understand and apply to the problems.

The course lectures are very confusing. I had to read a statistics book to clarify some of the concepts.

The instructor is not very good when compared to the others that are involved in this specialization.

Lots of formula without detail explanation, not recommended for people without statistics knowledge.

Concepts are very hard to understand, even with some background knowledge in statistics.

He is just reading the slides. I'd prefer to read a book rather than watch the videos.

Assumed a level of knowledge of stats already. Found it went too complex too quickly.

Most of the homework was not covered in the lectures. There are poor examples.

Not beginner friendly, might be good as a refresher for grad students

This course was more like a glossary. Not quite good but practical

Teacher is a bit erratic. It makes the course hard to follow.