Teaching material is very good. But I feel the Professor's explanation is monotonic and uses more of textual definitions rather than simple explanations which are required for starters.

The course is really interesting, but I believe the professor approach to describe and explain the topics is really confusing. I had to search other resources to clarify the topics.

A pretty tough course, but I learned some new things. The assignments can be be made better, as well as the evaluation of assignment, which is being done by peer review right now.

very difficult with lots of math not properly explained. What's the point of learned all these formulas by heart if you cannot use the properly because that is not explained well.

Material was interesting. Did not enjoy the teaching method of Prof. Caffo. Very scripted and skips way too fast through some of the equations and R code he's trying to teach.

Material should be supported by more examples. ie. at the end of the course, I couldn't perform a basic statistical test.

Bootstrapping modules completely missed the context.

You will review basics and main statistical theories. However the course videos and explanations are not as intuitive as in the previous courses. Statistic is always tough.

3.5 - Good, but I feel some of the explanations were over complicated a little compared to other coursers such as openintro to stats. Overall good experience though

整个专题里面boring的一门课之一，Brian教授的视频一直是1.25time速度看完，有些例子例如最后的Hypothesis testing 真的学得很困难，即使我在大学时候曾经上了概率统计的课，对没有数学和统计基础但想从事数据科学的人员真的是十分不友好，希望改进：1、课程视频变得有趣 2、PPT资料里面的公式详细解析

Brian Caffo is a brilliant mind. I am sure, but in a way for me it is difficult to follow. In parallel I checked out Khan Academy and it was easier to understand.

I find the lectures sometimes not clear enough to answer the quizzes questions. On the other hand, the course provides material in many ways, which is very nice.

At times the content can be confusing. Some points are clearly explained. "Data Analysys Tools" course is a good complement in order to understand the subject.

Covers a lot of info too fast! Some concepts are not clearly explained , had to surf online to get better understanding. Overall, fine course, very practical.

I didn't like the way how the professor explained the topics. It was difficult to understand him. I just understood when I did the swirl activities.

Very useful but too many concepts. It was hard to follow him during 20 minutes. Videos are very extensive, also useful. But take into account this.

Indept videos and materials should be provided for this course. The lectures are not enough to understand the Statistics involved in data science.

The course content is very interesting and sums up fundamental aspects of statistical inference. But the way the course is presented is average.

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ts just to have a chance of passing this one.

the subject kinda not hard but not easy to understand also, how ever the instractor was kinda fast which made me lake some of the information.

To be honest, I like the subject but found the course material and content not very well structured. I missed more mathematical foundation.

Brian Caffo is explaining the Statistical Inference methodically, but he could work on making the lectures less tiresome and monotonous.

Not really a logical path to follow. Too much topics for me. I really needed more examples with code.

Thanks a lot for the lessons!

The amount of materials is more than course period. You may need to study a couple of other resources to understand the course.

The subject is interesting, but the explanations are a little confusing. May need more diverse real-life examples to relate.

it gives an idea of how one is prepared to ingress to Data Science. I

see that I need to review it more carefully later on.