Learner Reviews & Feedback for Statistical Inference by Johns Hopkins University
About the Course
Top reviews
Course is compressed with lots of statistical concepts. Which is very good as most must know concepts are imparted. Lots of extra reading is required to gain all insights. Very good motivating start .
the teachers were awesome in this course. I liked this course a lot.Understood it properly.Thanks to all the beloved teachers and mentors who toiled hard to make these course easy to handle.Gracious!
626 - 650 of 812 Reviews for Statistical Inference
By Stefan P
•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.
By Fabien N
•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.
By Asier
•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.
By Talant R
•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.
By Yadder A
•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.
By Diego T B
•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.
By dhaval s
•Indept videos and materials should be provided for this course. The lectures are not enough to understand the Statistics involved in data science.
By Chouaib N
•The course content is very interesting and sums up fundamental aspects of statistical inference. But the way the course is presented is average.
By Aaron S
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ts just to have a chance of passing this one.
By Mohammed A E M
•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.
By Ivan G
•To be honest, I like the subject but found the course material and content not very well structured. I missed more mathematical foundation.
By Pawel D
•Brian Caffo is explaining the Statistical Inference methodically, but he could work on making the lectures less tiresome and monotonous.
By Ramon S
•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!
By Naeem K
•The amount of materials is more than course period. You may need to study a couple of other resources to understand the course.
By Hernan S
•The subject is interesting, but the explanations are a little confusing. May need more diverse real-life examples to relate.
By Masahiro H
•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.
By Stavros S
•Weeks 3 and 4 should have been split into 2 extra weeks to explain the concepts deeper and also have more exercises
By Marcus H Y T
•Concepts are not well explained and slides are not well prepared. Last few topics are too brief to be useful.
By Maria C I S
•3 stars because a total beginner would not have been able to follow these lessons without a lot of rewinding.
By Joe F
•Materials need to be updated - there are way too many inconsistencies between videos, exercises, and slides.
By Vasudevan D
•Too much concepts to learn and practice. Course material can be little more engaging and split accordingly.
By Maxim M
•Very difficult lectures. You need a solid statistical background to keep up with the pace of the professor.
By Simon
•The ideas and concepts explained here are really important but are explained/written in a bit messy manner.
By xuwei l
•lectures notes is not details enough, had to google around other materials to grasp the courser work better
By Muhammad M A S
•It's very important and very helpful, but it needs to be of more time/low speed to be perfectly absorbed.
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