This is the first certificate I got in Coursera. I like this course, especially then notebook part
Ratings and Reviews for Inferential Statistical Analysis with Python
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Reviews and Ratings
Reviews
It would be better to give precise definitions of each test, at least in optional reading material. Also, sometimes different lecturers used different terminologies and sometimes concepts not covered before just popped up in the video (ex. chi-square test). In general, it seems more organization in the material needed.
Overall solid course. Could do without peer review assignment, more of a hassle than anything.
the fundamentals and intuition are greatly explained. The python part feels a little rushed though.
Well presented and rich content.
Need to improve slides
From the introduction, the course is supposed to build the knowledge ground up for a beginner in Statistics. However, it falls short in clearing many concepts and the principals end up being vague in a lot of sense, hence, there is a lack of cohesiveness in the concepts spread across weeks. Fortunately, I took an open course offered by Stanford University of the Inference Concepts explained in this course; before taking up this course.\
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Overall, this is a good course for someone who is familiar with the Inference concepts. For a beginner, a significant amount effort would be required to catch up to these concepts.
I'd like a little more interaction with Python during the explaination itself.
It is absolutely great. Instructors are veeeery pasionated with what they do, and the course material is very good.
I really like this course.
Very satisfied.